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Tutorial
Mon Dec 03 05:30 AM -- 07:30 AM (PST) @ Room 220 CD
Adversarial Robustness: Theory and Practice
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Slides]
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Indexed Video]
Tutorial
Mon Dec 03 05:30 AM -- 07:30 AM (PST) @ Room 517 CD
Scalable Bayesian Inference
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Indexed Video]
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Slides]
Tutorial
Mon Dec 03 05:30 AM -- 07:30 AM (PST) @ Room 220 E
Visualization for Machine Learning
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Indexed Video]
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Slides]
Tutorial
Mon Dec 03 08:00 AM -- 10:00 AM (PST) @ Room 517 CD
Negative Dependence, Stable Polynomials, and All That
Tutorial
Mon Dec 03 08:00 AM -- 10:00 AM (PST) @ Room 220 CD
Unsupervised Deep Learning
Tutorial
Mon Dec 03 08:00 AM -- 10:00 AM (PST) @ Room 220 E
Common Pitfalls for Studying the Human Side of Machine Learning
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Slides]
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Indexed Video]
Break
Mon Dec 03 10:30 AM -- 11:00 AM (PST)
Coffee Break
Tutorial
Mon Dec 03 11:30 AM -- 01:30 PM (PST) @ Room 517 CD
Counterfactual Inference
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Slides]
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Indexed Video]
Tutorial
Mon Dec 03 11:30 AM -- 01:30 PM (PST) @ Room 220 CD
Automatic Machine Learning
Tutorial
Mon Dec 03 11:30 AM -- 01:30 PM (PST) @ Room 220 E
Statistical Learning Theory: a Hitchhiker's Guide
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Slides]
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Indexed Video]
Invited Talk
Mon Dec 03 02:30 PM -- 03:20 PM (PST) @ Room 220 CD
Accountability and Algorithmic Bias: Why Diversity and Inclusion Matters
Break
Mon Dec 03 04:30 PM -- 05:00 PM (PST)
Coffee Break
Break
Mon Dec 03 05:00 PM -- 05:30 PM (PST)
Opening Remarks
Break
Mon Dec 03 06:30 PM -- 08:30 PM (PST)
Opening Reception
Invited Talk
Tue Dec 04 05:30 AM -- 06:20 AM (PST) @ Room 220 CD
Machine Learning Meets Public Policy: What to Expect and How to Cope
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Slides]
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Indexed Video]
Oral
Tue Dec 04 07:05 AM -- 07:20 AM (PST) @ Room 220 CD
On Neuronal Capacity
Oral
Tue Dec 04 07:05 AM -- 07:20 AM (PST) @ Room 220 E
On the Dimensionality of Word Embedding
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Paper]
Oral
Tue Dec 04 07:05 AM -- 07:20 AM (PST) @ Room 517 CD
Phase Retrieval Under a Generative Prior
Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 220 CD
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 517 CD
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 220 CD
Size-Noise Tradeoffs in Generative Networks
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Diffusion Maps for Textual Network Embedding
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 517 CD
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds
Oral
Tue Dec 04 07:30 AM -- 07:45 AM (PST) @ Room 220 CD
Dendritic cortical microcircuits approximate the backpropagation algorithm
Oral
Tue Dec 04 07:30 AM -- 07:45 AM (PST) @ Room 220 E
A Retrieve-and-Edit Framework for Predicting Structured Outputs
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Paper]
Oral
Tue Dec 04 07:30 AM -- 07:45 AM (PST) @ Room 517 CD
Spectral Filtering for General Linear Dynamical Systems
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D5
Deep learning to improve quality control in pharmaceutical manufacturing
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D8
A model-agnostic web interface for interactive music composition by inpainting
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D3
Ruuh: A Deep Learning Based Conversational Social Agent
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D7
A Hands-free Natural User Interface (NUI) for AR/VR Head-Mounted Displays Exploiting Wearer’s Facial Gestures
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D10
TextWorld: A Learning Environment for Text-based Games
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D9
A machine learning environment to determine novel malaria policies
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510
TensorFlow Dance - Learning to Dance via Machine Learning
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510
Reproducing Machine Learning Research on Binder
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D4
Game for Detecting Backdoor Attacks on Deep Neural Networks using Activation Clustering
Demonstration
Tue Dec 04 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D1
Deep Neural Networks Running Onboard Anki’s Robot, Vector
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #1
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #2
The Lingering of Gradients: How to Reuse Gradients Over Time
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #3
Quadratic Decomposable Submodular Function Minimization
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #4
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #5
Leveraging the Exact Likelihood of Deep Latent Variable Models
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #6
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #7
Amortized Inference Regularization
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #8
GumBolt: Extending Gumbel trick to Boltzmann priors
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #9
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #10
Invertibility of Convolutional Generative Networks from Partial Measurements
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #11
Glow: Generative Flow with Invertible 1x1 Convolutions
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #12
Multimodal Generative Models for Scalable Weakly-Supervised Learning
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #13
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #14
Towards Text Generation with Adversarially Learned Neural Outlines
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #15
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #16
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #17
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #18
Banach Wasserstein GAN
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #19
A Convex Duality Framework for GANs
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #20
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #21
On gradient regularizers for MMD GANs
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #22
PacGAN: The power of two samples in generative adversarial networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #23
Are GANs Created Equal? A Large-Scale Study
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #24
Disconnected Manifold Learning for Generative Adversarial Networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #25
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #26
Fast and Effective Robustness Certification
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #27
Graphical Generative Adversarial Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #28
Deep Defense: Training DNNs with Improved Adversarial Robustness
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #29
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #30
Memory Replay GANs: Learning to Generate New Categories without Forgetting
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Paper]
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3-Minute-Video]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #31
Unsupervised Attention-guided Image-to-Image Translation
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #32
Conditional Adversarial Domain Adaptation
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #33
Video-to-Video Synthesis
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #34
Generalized Zero-Shot Learning with Deep Calibration Network
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #35
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #36
Trading robust representations for sample complexity through self-supervised visual experience
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #37
TADAM: Task dependent adaptive metric for improved few-shot learning
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #38
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #39
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #40
A^2-Nets: Double Attention Networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #41
Pelee: A Real-Time Object Detection System on Mobile Devices
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #42
PointCNN: Convolution On X-Transformed Points
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #43
Deep Neural Networks with Box Convolutions
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #44
An intriguing failing of convolutional neural networks and the CoordConv solution
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #45
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #46
Moonshine: Distilling with Cheap Convolutions
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #47
Kalman Normalization: Normalizing Internal Representations Across Network Layers
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #48
SplineNets: Continuous Neural Decision Graphs
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #49
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #50
Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #51
Exact natural gradient in deep linear networks and its application to the nonlinear case
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Paper]
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3-Minute-Video]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #52
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #53
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #54
Paraphrasing Complex Network: Network Compression via Factor Transfer
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #55
Learning Compressed Transforms with Low Displacement Rank
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #56
Knowledge Distillation by On-the-Fly Native Ensemble
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #57
Scalable methods for 8-bit training of neural networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #58
Training Deep Models Faster with Robust, Approximate Importance Sampling
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #59
Collaborative Learning for Deep Neural Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #60
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #61
Bayesian Distributed Stochastic Gradient Descent
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #62
Regularizing by the Variance of the Activations' Sample-Variances
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #63
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #64
L4: Practical loss-based stepsize adaptation for deep learning
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #65
Synaptic Strength For Convolutional Neural Network
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #66
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #67
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #68
TETRIS: TilE-matching the TRemendous Irregular Sparsity
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #69
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #70
HitNet: Hybrid Ternary Recurrent Neural Network
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #71
A General Method for Amortizing Variational Filtering
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #72
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #73
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #74
Representer Point Selection for Explaining Deep Neural Networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #75
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #76
DropMax: Adaptive Variational Softmax
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #77
Out-of-Distribution Detection using Multiple Semantic Label Representations
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #78
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #79
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #80
SLAYER: Spike Layer Error Reassignment in Time
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #81
DeepPINK: reproducible feature selection in deep neural networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #82
Learning long-range spatial dependencies with horizontal gated recurrent units
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #83
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #84
A Bridging Framework for Model Optimization and Deep Propagation
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #85
The Importance of Sampling inMeta-Reinforcement Learning
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #86
Latent Alignment and Variational Attention
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #87
Variational Memory Encoder-Decoder
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #88
Relational recurrent neural networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #89
Learning to Reason with Third Order Tensor Products
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #90
Reversible Recurrent Neural Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #91
Breaking the Activation Function Bottleneck through Adaptive Parameterization
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #92
BRITS: Bidirectional Recurrent Imputation for Time Series
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #93
Complex Gated Recurrent Neural Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #94
Middle-Out Decoding
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #95
Recurrently Controlled Recurrent Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #96
Tree-to-tree Neural Networks for Program Translation
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #97
HOUDINI: Lifelong Learning as Program Synthesis
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #98
Neural Guided Constraint Logic Programming for Program Synthesis
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #99
Embedding Logical Queries on Knowledge Graphs
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 210 #100
Expanding Holographic Embeddings for Knowledge Completion
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #101
On the Dimensionality of Word Embedding
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #102
Flexible neural representation for physics prediction
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #103
Content preserving text generation with attribute controls
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #104
Recurrent Relational Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #105
GLoMo: Unsupervised Learning of Transferable Relational Graphs
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #106
Predictive Uncertainty Estimation via Prior Networks
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Paper]
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3-Minute-Video]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #107
Adversarial Multiple Source Domain Adaptation
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #108
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #109
A Simple Cache Model for Image Recognition
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #110
Co-teaching: Robust training of deep neural networks with extremely noisy labels
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #111
Improved Network Robustness with Adversary Critic
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #112
Unsupervised Learning of Object Landmarks through Conditional Image Generation
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #113
Multi-Task Learning as Multi-Objective Optimization
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #114
Deep Anomaly Detection Using Geometric Transformations
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #115
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #116
VideoCapsuleNet: A Simplified Network for Action Detection
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #117
With Friends Like These, Who Needs Adversaries?
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #118
Multi-Task Zipping via Layer-wise Neuron Sharing
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #119
Learning Versatile Filters for Efficient Convolutional Neural Networks
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Paper]
[
3-Minute-Video]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #120
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #121
Structure-Aware Convolutional Neural Networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #122
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #123
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #124
Deep Neural Nets with Interpolating Function as Output Activation
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #125
Neural Edit Operations for Biological Sequences
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB
Improved Expressivity Through Dendritic Neural Networks
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #127
Neural Proximal Gradient Descent for Compressive Imaging
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #128
Sigsoftmax: Reanalysis of the Softmax Bottleneck
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #129
Visualizing the Loss Landscape of Neural Nets
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #130
Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #131
Adaptive Sampling Towards Fast Graph Representation Learning
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #132
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #133
Scaling provable adversarial defenses
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #134
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #135
Training DNNs with Hybrid Block Floating Point
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #136
Mesh-TensorFlow: Deep Learning for Supercomputers
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #137
Thwarting Adversarial Examples: An $L_0$-Robust Sparse Fourier Transform
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #138
Bayesian Adversarial Learning
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #139
Dendritic cortical microcircuits approximate the backpropagation algorithm
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #140
Learning a latent manifold of odor representations from neural responses in piriform cortex
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Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #141
Size-Noise Tradeoffs in Generative Networks
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #143
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #144
Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #145
Learning towards Minimum Hyperspherical Energy
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #146
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #147
Deep Attentive Tracking via Reciprocative Learning
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #148
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #149
A flexible model for training action localization with varying levels of supervision
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #150
Bilinear Attention Networks
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #151
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #152
Diffusion Maps for Textual Network Embedding
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #153
FRAGE: Frequency-Agnostic Word Representation
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #154
A Retrieve-and-Edit Framework for Predicting Structured Outputs
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #155
Unsupervised Text Style Transfer using Language Models as Discriminators
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #156
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #157
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #158
Gradient Sparsification for Communication-Efficient Distributed Optimization
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #159
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #160
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #161
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #162
Phase Retrieval Under a Generative Prior
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #163
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #164
Modern Neural Networks Generalize on Small Data Sets
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #165
Co-regularized Alignment for Unsupervised Domain Adaptation
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #166
Neural Networks Trained to Solve Differential Equations Learn General Representations
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #167
Spectral Filtering for General Linear Dynamical Systems
[
Paper]
Poster
Tue Dec 04 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #168
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
Break
Tue Dec 04 09:40 AM -- 10:05 AM (PST)
Coffee Break
Invited Talk
Tue Dec 04 11:15 AM -- 12:05 PM (PST) @ Room 220 CD
What Bodies Think About: Bioelectric Computation Outside the Nervous System, Primitive Cognition, and Synthetic Morphology
[
Slides]
[
Indexed Video]
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 220 CD
Neural Voice Cloning with a Few Samples
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Evolved Policy Gradients
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 517 CD
Differentially Private Testing of Identity and Closeness of Discrete Distributions
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 220 CD
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 517 CD
Local Differential Privacy for Evolving Data
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 220 CD
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 220 E
Bayesian Model-Agnostic Meta-Learning
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 517 CD
Differentially Private k-Means with Constant Multiplicative Error
Break
Tue Dec 04 12:45 PM -- 02:15 PM (PST)
Lunch on your own
Break
Tue Dec 04 12:45 PM -- 02:15 PM (PST)
Lunch on your own
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 220 CD
Learning to Optimize Tensor Programs
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 220 E
Probabilistic Neural Programmed Networks for Scene Generation
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 517 CD
A Spectral View of Adversarially Robust Features
Oral
Tue Dec 04 12:50 PM -- 01:05 PM (PST) @ Room 220 CD
Generalisation of structural knowledge in the hippocampal-entorhinal system
Oral
Tue Dec 04 12:50 PM -- 01:05 PM (PST) @ Room 220 E
Neural Ordinary Differential Equations
Oral
Tue Dec 04 12:50 PM -- 01:05 PM (PST) @ Room 517 CD
Model-Agnostic Private Learning
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 220 CD
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 220 E
Bias and Generalization in Deep Generative Models: An Empirical Study
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 517 CD
Bounded-Loss Private Prediction Markets
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 220 CD
Generalizing Tree Probability Estimation via Bayesian Networks
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Robustness of conditional GANs to noisy labels
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 517 CD
cpSGD: Communication-efficient and differentially-private distributed SGD
Break
Tue Dec 04 01:15 PM -- 02:15 PM (PST) @ Room 517 CD
Inclusion and Diversity Town Hall
[
Video]
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 220 CD
Geometry Based Data Generation
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 220 E
BourGAN: Generative Networks with Metric Embeddings
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 517 CD
Adversarially Robust Generalization Requires More Data
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 220 CD
Point process latent variable models of larval zebrafish behavior
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 517 CD
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
Oral
Tue Dec 04 01:25 PM -- 01:40 PM (PST) @ Room 220 CD
A probabilistic population code based on neural samples
[
Indexed Video]
[
Video]
Oral
Tue Dec 04 01:25 PM -- 01:40 PM (PST) @ Room 220 E
How Does Batch Normalization Help Optimization?
[
Video]
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 220 CD
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 220 E
Training Neural Networks Using Features Replay
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 517 CD
Towards Robust Detection of Adversarial Examples
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 220 CD
Learning Temporal Point Processes via Reinforcement Learning
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 220 E
Step Size Matters in Deep Learning
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 517 CD
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 220 CD
Precision and Recall for Time Series
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 517 CD
Data-Driven Clustering via Parameterized Lloyd's Families
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 220 CD
Bayesian Nonparametric Spectral Estimation
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 220 E
Hierarchical Graph Representation Learning with Differentiable Pooling
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 517 CD
Supervising Unsupervised Learning
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #1
Point process latent variable models of larval zebrafish behavior
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #2
Provably Correct Automatic Sub-Differentiation for Qualified Programs
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #3
Neural Ordinary Differential Equations
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #4
Information Constraints on Auto-Encoding Variational Bayes
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #5
Robustness of conditional GANs to noisy labels
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #6
Bias and Generalization in Deep Generative Models: An Empirical Study
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #7
Probabilistic Neural Programmed Networks for Scene Generation
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #8
Step Size Matters in Deep Learning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #9
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #10
How Does Batch Normalization Help Optimization?
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #11
Towards Robust Detection of Adversarial Examples
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #12
Training Neural Networks Using Features Replay
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #13
Faster Neural Networks Straight from JPEG
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #14
Hierarchical Graph Representation Learning with Differentiable Pooling
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #15
Bayesian Model-Agnostic Meta-Learning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #17
BourGAN: Generative Networks with Metric Embeddings
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #18
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #19
Generalisation of structural knowledge in the hippocampal-entorhinal system
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #20
Task-Driven Convolutional Recurrent Models of the Visual System
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #21
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #22
Extracting Relationships by Multi-Domain Matching
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #23
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #24
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #25
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #26
A probabilistic population code based on neural samples
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #27
cpSGD: Communication-efficient and differentially-private distributed SGD
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #28
Bounded-Loss Private Prediction Markets
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #29
Ex ante coordination and collusion in zero-sum multi-player extensive-form games
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #30
Model-Agnostic Private Learning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #31
Adversarially Robust Generalization Requires More Data
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #32
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #33
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #34
Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #35
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #36
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #37
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #38
Compact Generalized Non-local Network
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #39
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #40
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #41
LF-Net: Learning Local Features from Images
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #42
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #43
Modelling and unsupervised learning of symmetric deformable object categories
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #44
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #45
Image Inpainting via Generative Multi-column Convolutional Neural Networks
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #46
Beyond Grids: Learning Graph Representations for Visual Recognition
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #47
Foreground Clustering for Joint Segmentation and Localization in Videos and Images
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #48
LinkNet: Relational Embedding for Scene Graph
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210
Context-aware Synthesis and Placement of Object Instances
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #50
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #51
See and Think: Disentangling Semantic Scene Completion
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #52
Active Matting
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #53
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #54
Turbo Learning for CaptionBot and DrawingBot
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #55
Dialog-based Interactive Image Retrieval
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #56
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #57
Sequential Context Encoding for Duplicate Removal
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #58
Hybrid Knowledge Routed Modules for Large-scale Object Detection
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #59
SNIPER: Efficient Multi-Scale Training
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #60
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #61
MetaAnchor: Learning to Detect Objects with Customized Anchors
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #62
Learning Hierarchical Semantic Image Manipulation through Structured Representations
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #63
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #64
3D-Aware Scene Manipulation via Inverse Graphics
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #65
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #66
Sequence-to-Segment Networks for Segment Detection
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #67
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #68
DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #69
Self-Erasing Network for Integral Object Attention
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #70
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #71
DifNet: Semantic Segmentation by Diffusion Networks
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #72
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #73
Attention in Convolutional LSTM for Gesture Recognition
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #74
Partially-Supervised Image Captioning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #75
Learning to Specialize with Knowledge Distillation for Visual Question Answering
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #76
Chain of Reasoning for Visual Question Answering
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #77
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #78
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #79
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #80
Non-Local Recurrent Network for Image Restoration
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #81
Neural Nearest Neighbors Networks
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #82
Training deep learning based denoisers without ground truth data
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #83
Adversarial Regularizers in Inverse Problems
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #84
Densely Connected Attention Propagation for Reading Comprehension
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #85
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #86
e-SNLI: Natural Language Inference with Natural Language Explanations
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #87
The challenge of realistic music generation: modelling raw audio at scale
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #88
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #89
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #90
SING: Symbol-to-Instrument Neural Generator
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #91
Neural Voice Cloning with a Few Samples
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #92
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #93
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #94
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #95
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #96
Trajectory Convolution for Action Recognition
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #97
Video Prediction via Selective Sampling
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #98
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis
[
Paper]
[
3-Minute-Video]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #99
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 210 #100
Speaker-Follower Models for Vision-and-Language Navigation
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #101
Neural Code Comprehension: A Learnable Representation of Code Semantics
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #102
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #103
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #104
Learning to Optimize Tensor Programs
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #105
Learning to Solve SMT Formulas
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #106
Data center cooling using model-predictive control
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #107
Bayesian Inference of Temporal Task Specifications from Demonstrations
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #108
Training Deep Neural Networks with 8-bit Floating Point Numbers
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #109
Snap ML: A Hierarchical Framework for Machine Learning
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #110
Learning filter widths of spectral decompositions with wavelets
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #111
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #112
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #113
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #114
Bayesian Nonparametric Spectral Estimation
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #115
Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
[
Paper]
[
3-Minute-Video]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #116
Precision and Recall for Time Series
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #117
Deep Generative Markov State Models
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #118
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #119
Regularization Learning Networks: Deep Learning for Tabular Datasets
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #120
Generative modeling for protein structures
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #121
Geometry Based Data Generation
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #122
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #123
Generalizing Tree Probability Estimation via Bayesian Networks
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #124
Learning Temporal Point Processes via Reinforcement Learning
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #125
Exponentially Weighted Imitation Learning for Batched Historical Data
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #126
Evidential Deep Learning to Quantify Classification Uncertainty
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #127
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
[
Paper]
[
3-Minute-Video]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #128
Towards Robust Interpretability with Self-Explaining Neural Networks
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #129
Model Agnostic Supervised Local Explanations
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #130
To Trust Or Not To Trust A Classifier
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #131
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #132
Hunting for Discriminatory Proxies in Linear Regression Models
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #133
Empirical Risk Minimization Under Fairness Constraints
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #134
Approximation algorithms for stochastic clustering
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #136
Does mitigating ML's impact disparity require treatment disparity?
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #137
Enhancing the Accuracy and Fairness of Human Decision Making
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #138
The Price of Fair PCA: One Extra dimension
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #139
Practical Methods for Graph Two-Sample Testing
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #140
Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #141
KDGAN: Knowledge Distillation with Generative Adversarial Networks
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #142
Modeling Dynamic Missingness of Implicit Feedback for Recommendation
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #143
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #144
Non-metric Similarity Graphs for Maximum Inner Product Search
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #145
Norm-Ranging LSH for Maximum Inner Product Search
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #146
A Dual Framework for Low-rank Tensor Completion
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #147
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #148
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #149
Semidefinite relaxations for certifying robustness to adversarial examples
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #150
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #151
Differentially Private Testing of Identity and Closeness of Discrete Distributions
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #152
Differentially Private k-Means with Constant Multiplicative Error
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #153
Local Differential Privacy for Evolving Data
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #154
Adversarial Attacks on Stochastic Bandits
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #155
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #156
A Spectral View of Adversarially Robust Features
[
Paper]
[
3-Minute-Video]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #157
Efficient Formal Safety Analysis of Neural Networks
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #158
Contamination Attacks and Mitigation in Multi-Party Machine Learning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #159
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #160
Data-Driven Clustering via Parameterized Lloyd's Families
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #161
Manifold Structured Prediction
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #162
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #163
Masking: A New Perspective of Noisy Supervision
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #164
Supervising Unsupervised Learning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #165
One-Shot Unsupervised Cross Domain Translation
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #166
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #167
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #168
Completing State Representations using Spectral Learning
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #169
Data-Efficient Hierarchical Reinforcement Learning
[
Paper]
Poster
Tue Dec 04 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #170
The Cluster Description Problem - Complexity Results, Formulations and Approximations
[
Paper]
Break
Tue Dec 04 03:05 PM -- 03:30 PM (PST)
Coffee Break
Invited Talk (Posner Lecture)
Wed Dec 05 05:30 AM -- 06:20 AM (PST) @ Room 220 CD
Reproducible, Reusable, and Robust Reinforcement Learning
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 220 CD
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 220 E
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 517 CD
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 220 CD
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 220 E
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 517 CD
Leveraged volume sampling for linear regression
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 220 CD
End-to-End Differentiable Physics for Learning and Control
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 220 E
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 517 CD
Synthesize Policies for Transfer and Adaptation across Tasks and Environments
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 220 CD
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 220 E
Neighbourhood Consensus Networks
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 517 CD
Sublinear Time Low-Rank Approximation of Distance Matrices
[
Slides]
[
Indexed Video]
Oral
Wed Dec 05 07:05 AM -- 07:20 AM (PST) @ Room 220 CD
Exploration in Structured Reinforcement Learning
[
Video]
Oral
Wed Dec 05 07:05 AM -- 07:20 AM (PST) @ Room 220 E
Visual Memory for Robust Path Following
[
Video]
Oral
Wed Dec 05 07:05 AM -- 07:20 AM (PST) @ Room 517 CD
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
[
Video]
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 220 CD
Acceleration through Optimistic No-Regret Dynamics
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Recurrent Transformer Networks for Semantic Correspondence
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 517 CD
Minimax Statistical Learning with Wasserstein distances
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 220 CD
On Oracle-Efficient PAC RL with Rich Observations
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 517 CD
Generalization Bounds for Uniformly Stable Algorithms
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 220 CD
Constant Regret, Generalized Mixability, and Mirror Descent
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 220 E
Sanity Checks for Saliency Maps
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 517 CD
A loss framework for calibrated anomaly detection
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 220 CD
Efficient Online Portfolio with Logarithmic Regret
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 220 E
A Probabilistic U-Net for Segmentation of Ambiguous Images
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 517 CD
Sharp Bounds for Generalized Uniformity Testing
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 220 CD
Solving Large Sequential Games with the Excessive Gap Technique
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 220 E
Virtual Class Enhanced Discriminative Embedding Learning
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 517 CD
Convex Elicitation of Continuous Properties
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D3
Play Imperfect Information Games against Neural Networks
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D8
Autonomous robotic manipulation with a desktop research platform
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D6
Deep Reinforcement Learning for Online Order Dispatching and Driver Repositioning in Ride-sharing
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D10
Automatic Curriculum Generation Applied to Teaching Novices a Short Bach Piano Segment
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D1
BigBlueBot: A Demonstration of How to Detect Egregious Conversations with Chatbots
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D7
Multi-Word Imputation and Sentence Expansion
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510
PatentAI: IP Infringement Detection with Enhanced Paraphrase Identification
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510
Perception, sensing, motion planning and robot control using AI for automated feeding of upper-extremity mobility impaired people
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D4
RieszNets: Accurate Real-Time 2D/3D Image Super-Resolution
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D9
A Cooperative Visually Grounded Dialogue Game with a Humanoid Robot
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #1
Balanced Policy Evaluation and Learning
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #2
Exponentiated Strongly Rayleigh Distributions
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #3
Parsimonious Bayesian deep networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #4
Stein Variational Gradient Descent as Moment Matching
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #5
Hamiltonian Variational Auto-Encoder
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #6
Predictive Approximate Bayesian Computation via Saddle Points
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #7
Importance Weighting and Variational Inference
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #8
Orthogonally Decoupled Variational Gaussian Processes
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #9
ATOMO: Communication-efficient Learning via Atomic Sparsification
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #10
Sparsified SGD with Memory
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #11
SEGA: Variance Reduction via Gradient Sketching
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #12
Non-monotone Submodular Maximization in Exponentially Fewer Iterations
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #13
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #14
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #15
Inexact trust-region algorithms on Riemannian manifolds
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #16
On Markov Chain Gradient Descent
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #17
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #18
Global Non-convex Optimization with Discretized Diffusions
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #19
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #20
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #21
Porcupine Neural Networks: Approximating Neural Network Landscapes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #22
Adding One Neuron Can Eliminate All Bad Local Minima
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #23
Improving Explorability in Variational Inference with Annealed Variational Objectives
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #24
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #25
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #26
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #27
PCA of high dimensional random walks with comparison to neural network training
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #28
Insights on representational similarity in neural networks with canonical correlation
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #29
Adversarial vulnerability for any classifier
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #30
Sanity Checks for Saliency Maps
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #31
MetaGAN: An Adversarial Approach to Few-Shot Learning
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #32
Deep Generative Models with Learnable Knowledge Constraints
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #33
Learning Attractor Dynamics for Generative Memory
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #34
Fast deep reinforcement learning using online adjustments from the past
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #35
Blockwise Parallel Decoding for Deep Autoregressive Models
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #36
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #37
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #38
End-to-End Differentiable Physics for Learning and Control
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #40
Reinforced Continual Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #41
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #42
Generalizing to Unseen Domains via Adversarial Data Augmentation
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #43
On the Local Hessian in Back-propagation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #44
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #45
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #46
Simple, Distributed, and Accelerated Probabilistic Programming
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #47
Power-law efficient neural codes provide general link between perceptual bias and discriminability
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #48
DropBlock: A regularization method for convolutional networks
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #49
Learning sparse neural networks via sensitivity-driven regularization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #50
Critical initialisation for deep signal propagation in noisy rectifier neural networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #51
The streaming rollout of deep networks - towards fully model-parallel execution
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #52
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #53
Learning Optimal Reserve Price against Non-myopic Bidders
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #54
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #55
On Binary Classification in Extreme Regions
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #56
PAC-Bayes bounds for stable algorithms with instance-dependent priors
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #57
Improved Algorithms for Collaborative PAC Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #58
Data Amplification: A Unified and Competitive Approach to Property Estimation
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #59
Mean-field theory of graph neural networks in graph partitioning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #60
Statistical mechanics of low-rank tensor decomposition
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #61
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #62
The Description Length of Deep Learning models
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #63
Deepcode: Feedback Codes via Deep Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #64
Binary Rating Estimation with Graph Side Information
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #65
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #66
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #67
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #68
Asymptotic optimality of adaptive importance sampling
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #69
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #70
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #71
A Mathematical Model For Optimal Decisions In A Representative Democracy
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #72
Universal Growth in Production Economies
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #73
Convex Elicitation of Continuous Properties
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #74
Contextual Pricing for Lipschitz Buyers
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #75
Learning in Games with Lossy Feedback
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #76
Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #77
Solving Large Sequential Games with the Excessive Gap Technique
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #78
Practical exact algorithm for trembling-hand equilibrium refinements in games
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #79
Improving Online Algorithms via ML Predictions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #80
Variance-Reduced Stochastic Gradient Descent on Streaming Data
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #81
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #82
PAC-learning in the presence of adversaries
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #83
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #84
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #85
Generalization Bounds for Uniformly Stable Algorithms
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #86
Minimax Statistical Learning with Wasserstein distances
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #87
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #88
Sketching Method for Large Scale Combinatorial Inference
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #89
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #90
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #91
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #92
Sharp Bounds for Generalized Uniformity Testing
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #93
Testing for Families of Distributions via the Fourier Transform
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #94
High Dimensional Linear Regression using Lattice Basis Reduction
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #95
$\ell_1$-regression with Heavy-tailed Distributions
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #96
Constant Regret, Generalized Mixability, and Mirror Descent
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #97
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #98
Uniform Convergence of Gradients for Non-Convex Learning and Optimization
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #99
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #100
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #101
Early Stopping for Nonparametric Testing
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #102
Chaining Mutual Information and Tightening Generalization Bounds
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #103
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #104
Minimax Estimation of Neural Net Distance
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #105
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #106
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #107
Data-dependent PAC-Bayes priors via differential privacy
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #108
Computationally and statistically efficient learning of causal Bayes nets using path queries
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #109
PAC-Bayes Tree: weighted subtrees with guarantees
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #110
A loss framework for calibrated anomaly detection
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #111
On Oracle-Efficient PAC RL with Rich Observations
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #112
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #113
Learning from discriminative feature feedback
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #114
How to Start Training: The Effect of Initialization and Architecture
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #115
Bilevel Distance Metric Learning for Robust Image Recognition
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #116
Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #117
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #118
Neighbourhood Consensus Networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #119
Recurrent Transformer Networks for Semantic Correspondence
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #120
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #121
A Neural Compositional Paradigm for Image Captioning
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #122
Visual Memory for Robust Path Following
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #123
Learning to Exploit Stability for 3D Scene Parsing
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #124
Learning to Decompose and Disentangle Representations for Video Prediction
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #125
Weakly Supervised Dense Event Captioning in Videos
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #126
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #127
A Probabilistic U-Net for Segmentation of Ambiguous Images
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #128
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #129
Adversarial Text Generation via Feature-Mover's Distance
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #130
Virtual Class Enhanced Discriminative Embedding Learning
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #131
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #132
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #133
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #134
Diminishing Returns Shape Constraints for Interpretability and Regularization
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #135
Fairness Through Computationally-Bounded Awareness
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #136
On preserving non-discrimination when combining expert advice
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #137
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #138
Inequity aversion improves cooperation in intertemporal social dilemmas
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #139
On Misinformation Containment in Online Social Networks
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #140
Found Graph Data and Planted Vertex Covers
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #141
Inferring Networks From Random Walk-Based Node Similarities
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #142
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #143
Unorganized Malicious Attacks Detection
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #144
Scalable Robust Matrix Factorization with Nonconvex Loss
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #145
Differentially Private Robust Low-Rank Approximation
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #146
Differential Privacy for Growing Databases
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #147
Efficient Neural Network Robustness Certification with General Activation Functions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #148
Spectral Signatures in Backdoor Attacks
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #149
Constructing Unrestricted Adversarial Examples with Generative Models
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #150
Sublinear Time Low-Rank Approximation of Distance Matrices
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #151
Leveraged volume sampling for linear regression
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #152
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #153
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #154
Algorithms and Theory for Multiple-Source Adaptation
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #155
Synthesize Policies for Transfer and Adaptation across Tasks and Environments
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #156
Acceleration through Optimistic No-Regret Dynamics
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #157
Efficient Online Portfolio with Logarithmic Regret
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #158
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #159
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #160
Exploration in Structured Reinforcement Learning
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #161
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #162
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #163
Learning Safe Policies with Expert Guidance
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #164
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #165
Is Q-Learning Provably Efficient?
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #166
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
[
Paper]
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #167
An Off-policy Policy Gradient Theorem Using Emphatic Weightings
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #168
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #169
Monte-Carlo Tree Search for Constrained POMDPs
[
Paper]
Break
Wed Dec 05 09:20 AM -- 09:45 AM (PST)
Coffee Break
Invited Talk
Wed Dec 05 11:15 AM -- 12:05 PM (PST) @ Room 220 CD
Investigations into the Human-AI Trust Phenomenon
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 220 CD
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Dynamic Network Model from Partial Observations
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 517 CD
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 220 CD
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Stochastic Nonparametric Event-Tensor Decomposition
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 517 CD
Contextual Stochastic Block Models
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 220 CD
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 220 E
On GANs and GMMs
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 517 CD
Entropy Rate Estimation for Markov Chains with Large State Space
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 220 CD
Meta-Reinforcement Learning of Structured Exploration Strategies
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 220 E
GILBO: One Metric to Measure Them All
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 517 CD
Blind Deconvolutional Phase Retrieval via Convex Programming
Oral
Wed Dec 05 12:50 PM -- 01:05 PM (PST) @ Room 220 CD
Policy Optimization via Importance Sampling
[
Video]
Oral
Wed Dec 05 12:50 PM -- 01:05 PM (PST) @ Room 220 E
Isolating Sources of Disentanglement in Variational Autoencoders
[
Video]
Oral
Wed Dec 05 12:50 PM -- 01:05 PM (PST) @ Room 517 CD
Stochastic Cubic Regularization for Fast Nonconvex Optimization
[
Video]
Spotlight
Wed Dec 05 01:05 PM -- 01:10 PM (PST) @ Room 220 CD
A Bayesian Approach to Generative Adversarial Imitation Learning
Spotlight
Wed Dec 05 01:05 PM -- 01:10 PM (PST) @ Room 517 CD
Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 220 CD
Visual Reinforcement Learning with Imagined Goals
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 517 CD
On the Local Minima of the Empirical Risk
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 220 CD
Randomized Prior Functions for Deep Reinforcement Learning
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 220 E
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 517 CD
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 220 CD
Playing hard exploration games by watching YouTube
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Adversarially Robust Optimization with Gaussian Processes
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 517 CD
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
Oral
Wed Dec 05 01:25 PM -- 01:40 PM (PST) @ Room 220 CD
Recurrent World Models Facilitate Policy Evolution
[
Video]
Oral
Wed Dec 05 01:25 PM -- 01:40 PM (PST) @ Room 220 E
Approximate Knowledge Compilation by Online Collapsed Importance Sampling
[
Video]
Oral
Wed Dec 05 01:25 PM -- 01:40 PM (PST) @ Room 517 CD
Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems
[
Video]
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 220 CD
Reducing Network Agnostophobia
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 220 E
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 517 CD
Natasha 2: Faster Non-Convex Optimization Than SGD
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 220 CD
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 220 E
Proximal Graphical Event Models
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 517 CD
Escaping Saddle Points in Constrained Optimization
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 220 CD
Geometrically Coupled Monte Carlo Sampling
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Heterogeneous Multi-output Gaussian Process Prediction
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 517 CD
On Coresets for Logistic Regression
[
Slides]
[
Indexed Video]
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 220 CD
Scalable Laplacian K-modes
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 220 E
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 517 CD
Legendre Decomposition for Tensors
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #1
Equality of Opportunity in Classification: A Causal Approach
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #2
Confounding-Robust Policy Improvement
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #3
Causal Discovery from Discrete Data using Hidden Compact Representation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #4
Dirichlet belief networks for topic structure learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #5
Approximate Knowledge Compilation by Online Collapsed Importance Sampling
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #7
Dynamic Network Model from Partial Observations
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #8
HOGWILD!-Gibbs can be PanAccurate
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #9
DAGs with NO TEARS: Continuous Optimization for Structure Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #10
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #11
Coupled Variational Bayes via Optimization Embedding
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #12
Stochastic Nonparametric Event-Tensor Decomposition
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #13
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #14
Heterogeneous Multi-output Gaussian Process Prediction
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #15
Probabilistic Matrix Factorization for Automated Machine Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #16
Stochastic Expectation Maximization with Variance Reduction
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #17
Generative Neural Machine Translation
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #19
Variational Learning on Aggregate Outputs with Gaussian Processes
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #20
Learning Invariances using the Marginal Likelihood
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #21
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #22
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #23
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #24
Adversarially Robust Optimization with Gaussian Processes
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #25
Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #26
Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #27
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #28
Computing Higher Order Derivatives of Matrix and Tensor Expressions
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #29
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #30
The Effect of Network Width on the Performance of Large-batch Training
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #31
COLA: Decentralized Linear Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #32
Distributed Stochastic Optimization via Adaptive SGD
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #33
Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #34
Breaking the Span Assumption Yields Fast Finite-Sum Minimization
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #35
Optimization for Approximate Submodularity
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #36
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #37
Maximizing Induced Cardinality Under a Determinantal Point Process
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #38
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #39
Revisiting Decomposable Submodular Function Minimization with Incidence Relations
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #40
Coordinate Descent with Bandit Sampling
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #41
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #42
Stochastic Cubic Regularization for Fast Nonconvex Optimization
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #43
On the Local Minima of the Empirical Risk
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #44
Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #45
NEON2: Finding Local Minima via First-Order Oracles
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #46
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #47
Escaping Saddle Points in Constrained Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #48
Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #49
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #50
Natasha 2: Faster Non-Convex Optimization Than SGD
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #51
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #52
Structured Local Minima in Sparse Blind Deconvolution
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #53
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #54
Are ResNets Provably Better than Linear Predictors?
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #55
Adaptive Methods for Nonconvex Optimization
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #56
Alternating optimization of decision trees, with application to learning sparse oblique trees
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #57
GILBO: One Metric to Measure Them All
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #58
Isolating Sources of Disentanglement in Variational Autoencoders
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #59
On GANs and GMMs
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #60
Assessing Generative Models via Precision and Recall
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #61
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #62
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #63
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #64
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #65
Recurrent World Models Facilitate Policy Evolution
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #66
Long short-term memory and Learning-to-learn in networks of spiking neurons
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #67
Distributed Weight Consolidation: A Brain Segmentation Case Study
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #68
Learning to Play With Intrinsically-Motivated, Self-Aware Agents
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #69
Gradient Descent for Spiking Neural Networks
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #70
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #71
Temporal alignment and latent Gaussian process factor inference in population spike trains
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #72
Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #73
Model-based targeted dimensionality reduction for neuronal population data
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #74
Objective and efficient inference for couplings in neuronal networks
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #75
The emergence of multiple retinal cell types through efficient coding of natural movies
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #76
Benefits of over-parameterization with EM
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #77
On Coresets for Logistic Regression
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #79
Contextual Stochastic Block Models
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #80
Estimators for Multivariate Information Measures in General Probability Spaces
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #81
Blind Deconvolutional Phase Retrieval via Convex Programming
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #82
Entropy Rate Estimation for Markov Chains with Large State Space
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #83
Bandit Learning in Concave N-Person Games
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #84
Depth-Limited Solving for Imperfect-Information Games
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #85
The Physical Systems Behind Optimization Algorithms
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #86
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #87
Robust Learning of Fixed-Structure Bayesian Networks
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #88
Information-theoretic Limits for Community Detection in Network Models
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #89
Generalizing Graph Matching beyond Quadratic Assignment Model
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #90
Improving Simple Models with Confidence Profiles
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #91
Online Learning with an Unknown Fairness Metric
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #92
Legendre Decomposition for Tensors
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #93
The Price of Privacy for Low-rank Factorization
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #94
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #95
Differentially Private Change-Point Detection
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #96
Scalable Laplacian K-modes
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #97
Geometrically Coupled Monte Carlo Sampling
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #98
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #99
Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #100
Reducing Network Agnostophobia
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #101
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #102
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #103
The Everlasting Database: Statistical Validity at a Fair Price
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #104
Scalar Posterior Sampling with Applications
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #105
Iterative Value-Aware Model Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #106
A Lyapunov-based Approach to Safe Reinforcement Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #107
Temporal Regularization for Markov Decision Process
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #108
Maximum Causal Tsallis Entropy Imitation Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #109
Policy Optimization via Importance Sampling
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #110
Reinforcement Learning of Theorem Proving
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #111
Simple random search of static linear policies is competitive for reinforcement learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #112
Meta-Gradient Reinforcement Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #113
Reinforcement Learning for Solving the Vehicle Routing Problem
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #114
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #115
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #116
Learning Plannable Representations with Causal InfoGAN
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #117
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #118
Transfer of Deep Reactive Policies for MDP Planning
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #119
Q-learning with Nearest Neighbors
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #120
Distributed Multitask Reinforcement Learning with Quadratic Convergence
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #121
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #122
Constrained Cross-Entropy Method for Safe Reinforcement Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #123
Representation Balancing MDPs for Off-policy Policy Evaluation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #125
Occam's razor is insufficient to infer the preferences of irrational agents
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #126
Transfer of Value Functions via Variational Methods
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #127
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #128
Online Robust Policy Learning in the Presence of Unknown Adversaries
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #129
A Bayesian Approach to Generative Adversarial Imitation Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #130
Verifiable Reinforcement Learning via Policy Extraction
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #131
Deep Reinforcement Learning of Marked Temporal Point Processes
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #132
On Learning Intrinsic Rewards for Policy Gradient Methods
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #133
Evolution-Guided Policy Gradient in Reinforcement Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #134
Meta-Reinforcement Learning of Structured Exploration Strategies
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #135
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #136
Genetic-Gated Networks for Deep Reinforcement Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #137
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #138
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #139
Reward learning from human preferences and demonstrations in Atari
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #140
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #141
Visual Reinforcement Learning with Imagined Goals
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #142
Playing hard exploration games by watching YouTube
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #143
Unsupervised Video Object Segmentation for Deep Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #144
Learning to Navigate in Cities Without a Map
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #146
Object-Oriented Dynamics Predictor
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #147
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #148
Learning Attentional Communication for Multi-Agent Cooperation
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #149
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #150
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #151
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #152
Total stochastic gradient algorithms and applications in reinforcement learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #153
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #154
Randomized Prior Functions for Deep Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #155
Scalable Coordinated Exploration in Concurrent Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #156
Context-dependent upper-confidence bounds for directed exploration
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #157
Multi-Agent Generative Adversarial Imitation Learning
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #158
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #159
Learning to Share and Hide Intentions using Information Regularization
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #160
Credit Assignment For Collective Multiagent RL With Global Rewards
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #161
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #162
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #163
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #164
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #165
rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #166
Learning Task Specifications from Demonstrations
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #167
Teaching Inverse Reinforcement Learners via Features and Demonstrations
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #168
Single-Agent Policy Tree Search With Guarantees
[
Paper]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #169
From Stochastic Planning to Marginal MAP
[
Paper]
[
3-Minute-Video]
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #170
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
[
Paper]
Break
Wed Dec 05 03:05 PM -- 03:30 PM (PST)
Coffee Break
Invited Talk (Breiman Lecture)
Thu Dec 06 05:30 AM -- 06:20 AM (PST) @ Room 220 CD
Making Algorithms Trustworthy: What Can Statistical Science Contribute to Transparency, Explanation and Validation?
[
Slides]
[
Indexed Video]
Spotlight
Thu Dec 06 06:45 AM -- 06:50 AM (PST) @ Room 220 CD
Learning with SGD and Random Features
[
Slides]
[
Indexed Video]
Spotlight
Thu Dec 06 06:45 AM -- 06:50 AM (PST) @ Room 220 E
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
Spotlight
Thu Dec 06 06:45 AM -- 06:50 AM (PST) @ Room 517 CD
Boolean Decision Rules via Column Generation
Spotlight
Thu Dec 06 06:50 AM -- 06:55 AM (PST) @ Room 220 CD
KONG: Kernels for ordered-neighborhood graphs
Spotlight
Thu Dec 06 06:50 AM -- 06:55 AM (PST) @ Room 220 E
Boosting Black Box Variational Inference
Spotlight
Thu Dec 06 06:50 AM -- 06:55 AM (PST) @ Room 517 CD
Fast greedy algorithms for dictionary selection with generalized sparsity constraints
Spotlight
Thu Dec 06 06:55 AM -- 07:00 AM (PST) @ Room 220 CD
Quadrature-based features for kernel approximation
Spotlight
Thu Dec 06 06:55 AM -- 07:00 AM (PST) @ Room 220 E
Discretely Relaxing Continuous Variables for tractable Variational Inference
Spotlight
Thu Dec 06 06:55 AM -- 07:00 AM (PST) @ Room 517 CD
Distributed $k$-Clustering for Data with Heavy Noise
Spotlight
Thu Dec 06 07:00 AM -- 07:05 AM (PST) @ Room 220 CD
Statistical and Computational Trade-Offs in Kernel K-Means
Spotlight
Thu Dec 06 07:00 AM -- 07:05 AM (PST) @ Room 220 E
Implicit Reparameterization Gradients
Spotlight
Thu Dec 06 07:00 AM -- 07:05 AM (PST) @ Room 517 CD
Do Less, Get More: Streaming Submodular Maximization with Subsampling
Oral
Thu Dec 06 07:05 AM -- 07:20 AM (PST) @ Room 220 CD
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
[
Video]
Oral
Thu Dec 06 07:05 AM -- 07:20 AM (PST) @ Room 220 E
Variational Inference with Tail-adaptive f-Divergence
[
Video]
Oral
Thu Dec 06 07:05 AM -- 07:20 AM (PST) @ Room 517 CD
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
[
Video]
Spotlight
Thu Dec 06 07:20 AM -- 07:25 AM (PST) @ Room 220 CD
Why Is My Classifier Discriminatory?
Spotlight
Thu Dec 06 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Mirrored Langevin Dynamics
Spotlight
Thu Dec 06 07:20 AM -- 07:25 AM (PST) @ Room 517 CD
Overlapping Clustering Models, and One (class) SVM to Bind Them All
Spotlight
Thu Dec 06 07:25 AM -- 07:30 AM (PST) @ Room 220 CD
Human-in-the-Loop Interpretability Prior
Spotlight
Thu Dec 06 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
[
Slides]
[
Indexed Video]
Spotlight
Thu Dec 06 07:25 AM -- 07:30 AM (PST) @ Room 517 CD
Removing the Feature Correlation Effect of Multiplicative Noise
Spotlight
Thu Dec 06 07:30 AM -- 07:35 AM (PST) @ Room 220 CD
Link Prediction Based on Graph Neural Networks
Spotlight
Thu Dec 06 07:30 AM -- 07:35 AM (PST) @ Room 220 E
Identification and Estimation of Causal Effects from Dependent Data
Spotlight
Thu Dec 06 07:30 AM -- 07:35 AM (PST) @ Room 517 CD
Connectionist Temporal Classification with Maximum Entropy Regularization
Spotlight
Thu Dec 06 07:35 AM -- 07:40 AM (PST) @ Room 220 CD
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
Spotlight
Thu Dec 06 07:35 AM -- 07:40 AM (PST) @ Room 220 E
Causal Inference via Kernel Deviance Measures
Spotlight
Thu Dec 06 07:35 AM -- 07:40 AM (PST) @ Room 517 CD
Entropy and mutual information in models of deep neural networks
Spotlight
Thu Dec 06 07:40 AM -- 07:45 AM (PST) @ Room 220 CD
Automatic differentiation in ML: Where we are and where we should be going
Spotlight
Thu Dec 06 07:40 AM -- 07:45 AM (PST) @ Room 220 E
Removing Hidden Confounding by Experimental Grounding
Spotlight
Thu Dec 06 07:40 AM -- 07:45 AM (PST) @ Room 517 CD
The committee machine: Computational to statistical gaps in learning a two-layers neural network
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #1
Experimental Design for Cost-Aware Learning of Causal Graphs
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #2
Removing Hidden Confounding by Experimental Grounding
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #3
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #4
Structural Causal Bandits: Where to Intervene?
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #5
Uplift Modeling from Separate Labels
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #6
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #7
Fast Estimation of Causal Interactions using Wold Processes
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #8
Learning and Testing Causal Models with Interventions
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #9
Causal Inference via Kernel Deviance Measures
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #10
Multi-domain Causal Structure Learning in Linear Systems
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #11
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #12
Direct Estimation of Differences in Causal Graphs
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #13
Identification and Estimation of Causal Effects from Dependent Data
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #14
Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #15
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #16
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #17
Distributionally Robust Graphical Models
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #18
Flexible and accurate inference and learning for deep generative models
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #19
Provable Gaussian Embedding with One Observation
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #20
Learning and Inference in Hilbert Space with Quantum Graphical Models
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #21
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #22
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #23
Theoretical guarantees for EM under misspecified Gaussian mixture models
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #24
Nonparametric learning from Bayesian models with randomized objective functions
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #26
A Bayesian Nonparametric View on Count-Min Sketch
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #27
Communication Efficient Parallel Algorithms for Optimization on Manifolds
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #29
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #30
Faithful Inversion of Generative Models for Effective Amortized Inference
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #31
A Stein variational Newton method
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #32
Reparameterization Gradient for Non-differentiable Models
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #33
Implicit Reparameterization Gradients
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #34
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #35
Wasserstein Variational Inference
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #36
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #37
Variational Inference with Tail-adaptive f-Divergence
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #38
Boosting Black Box Variational Inference
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #39
Discretely Relaxing Continuous Variables for tractable Variational Inference
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #40
Using Large Ensembles of Control Variates for Variational Inference
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #41
The promises and pitfalls of Stochastic Gradient Langevin Dynamics
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #42
Large-Scale Stochastic Sampling from the Probability Simplex
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #44
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #45
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #46
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #48
Posterior Concentration for Sparse Deep Learning
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #49
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #50
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #51
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #52
Implicit Probabilistic Integrators for ODEs
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #53
A Bayes-Sard Cubature Method
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #54
Deep State Space Models for Time Series Forecasting
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #55
BRUNO: A Deep Recurrent Model for Exchangeable Data
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #56
Scaling Gaussian Process Regression with Derivatives
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #57
Algebraic tests of general Gaussian latent tree models
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #58
Differentially Private Bayesian Inference for Exponential Families
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #59
Semi-crowdsourced Clustering with Deep Generative Models
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #60
Deep Poisson gamma dynamical systems
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #61
Deep State Space Models for Unconditional Word Generation
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #62
Modular Networks: Learning to Decompose Neural Computation
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #63
Gaussian Process Prior Variational Autoencoders
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #64
Bayesian Semi-supervised Learning with Graph Gaussian Processes
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #65
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #66
Variational Bayesian Monte Carlo
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #67
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #68
Automating Bayesian optimization with Bayesian optimization
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #69
Infinite-Horizon Gaussian Processes
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #70
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #71
Algorithmic Linearly Constrained Gaussian Processes
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #72
Efficient Projection onto the Perfect Phylogeny Model
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #73
Distributed $k$-Clustering for Data with Heavy Noise
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #74
Communication Compression for Decentralized Training
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #75
Do Less, Get More: Streaming Submodular Maximization with Subsampling
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #76
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #77
Provable Variational Inference for Constrained Log-Submodular Models
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #78
Fast greedy algorithms for dictionary selection with generalized sparsity constraints
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #79
Boolean Decision Rules via Column Generation
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #80
Computing Kantorovich-Wasserstein Distances on $d$-dimensional histograms using $(d+1)$-partite graphs
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #81
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #82
Implicit Bias of Gradient Descent on Linear Convolutional Networks
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #83
Deep Generative Models for Distribution-Preserving Lossy Compression
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #84
Visual Object Networks: Image Generation with Disentangled 3D Representations
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #85
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #86
Can We Gain More from Orthogonality Regularizations in Training Deep Networks?
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #87
Discrimination-aware Channel Pruning for Deep Neural Networks
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #88
Probabilistic Model-Agnostic Meta-Learning
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #89
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #90
Understanding Batch Normalization
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #91
How Many Samples are Needed to Estimate a Convolutional Neural Network?
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #92
Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #93
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #94
Automatic differentiation in ML: Where we are and where we should be going
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #95
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #96
Toddler-Inspired Visual Object Learning
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #97
Generalisation in humans and deep neural networks
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #98
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 210 #99
Incorporating Context into Language Encoding Models for fMRI
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #101
Mental Sampling in Multimodal Representations
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #102
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #103
Efficient inference for time-varying behavior during learning
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #104
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #105
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #106
Connectionist Temporal Classification with Maximum Entropy Regularization
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #107
Removing the Feature Correlation Effect of Multiplicative Noise
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #108
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #109
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #110
Entropy and mutual information in models of deep neural networks
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #111
The committee machine: Computational to statistical gaps in learning a two-layers neural network
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #112
A Unified Framework for Extensive-Form Game Abstraction with Bounds
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #113
Connecting Optimization and Regularization Paths
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #114
Overlapping Clustering Models, and One (class) SVM to Bind Them All
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #115
Learning latent variable structured prediction models with Gaussian perturbations
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #116
Self-Supervised Generation of Spatial Audio for 360° Video
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #117
Symbolic Graph Reasoning Meets Convolutions
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #118
Towards Deep Conversational Recommendations
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #119
Human-in-the-Loop Interpretability Prior
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #120
Why Is My Classifier Discriminatory?
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #121
Link Prediction Based on Graph Neural Networks
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #122
KONG: Kernels for ordered-neighborhood graphs
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #123
Efficient Stochastic Gradient Hard Thresholding
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #124
Measures of distortion for machine learning
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #125
Relating Leverage Scores and Density using Regularized Christoffel Functions
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #126
Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #127
Learning with SGD and Random Features
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #128
But How Does It Work in Theory? Linear SVM with Random Features
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #129
Statistical and Computational Trade-Offs in Kernel K-Means
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #130
Quadrature-based features for kernel approximation
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #131
Processing of missing data by neural networks
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #132
Constructing Deep Neural Networks by Bayesian Network Structure Learning
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #133
Mallows Models for Top-k Lists
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #134
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #135
Maximum-Entropy Fine Grained Classification
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #136
Efficient Loss-Based Decoding on Graphs for Extreme Classification
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #137
A no-regret generalization of hierarchical softmax to extreme multi-label classification
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #138
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #139
Deep Structured Prediction with Nonlinear Output Transformations
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #140
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #141
Large Margin Deep Networks for Classification
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #142
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #143
Multitask Boosting for Survival Analysis with Competing Risks
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #144
Multi-Layered Gradient Boosting Decision Trees
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #145
Unsupervised Adversarial Invariance
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #146
Learning Deep Disentangled Embeddings With the F-Statistic Loss
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #147
Learning Latent Subspaces in Variational Autoencoders
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #148
Dual Swap Disentangling
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #149
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #150
Group Equivariant Capsule Networks
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #151
Learning Disentangled Joint Continuous and Discrete Representations
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #152
Image-to-image translation for cross-domain disentanglement
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #154
Non-Adversarial Mapping with VAEs
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #155
Learning to Teach with Dynamic Loss Functions
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #156
Maximizing acquisition functions for Bayesian optimization
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #157
MetaReg: Towards Domain Generalization using Meta-Regularization
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #158
Transfer Learning with Neural AutoML
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #159
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #160
Lifelong Inverse Reinforcement Learning
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #161
Safe Active Learning for Time-Series Modeling with Gaussian Processes
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #162
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #163
Preference Based Adaptation for Learning Objectives
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #164
Byzantine Stochastic Gradient Descent
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #165
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #166
Online Learning of Quantum States
[
Paper]
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #167
Horizon-Independent Minimax Linear Regression
Poster
Thu Dec 06 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #169
A Model for Learned Bloom Filters and Optimizing by Sandwiching
Break
Thu Dec 06 09:20 AM -- 09:45 AM (PST)
Coffee Break
Invited Talk
Thu Dec 06 11:15 AM -- 12:05 PM (PST) @ Room 220 CD
Designing Computer Systems for Software 2.0
[
Slides]
[
Indexed Video]
Spotlight
Thu Dec 06 12:30 PM -- 12:35 PM (PST) @ Room 220 CD
Robust Subspace Approximation in a Stream
[
Slides]
[
Indexed Video]
Spotlight
Thu Dec 06 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Hyperbolic Neural Networks
Spotlight
Thu Dec 06 12:30 PM -- 12:35 PM (PST) @ Room 517 CD
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
Spotlight
Thu Dec 06 12:35 PM -- 12:40 PM (PST) @ Room 220 CD
Efficient nonmyopic batch active search
Spotlight
Thu Dec 06 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Norm matters: efficient and accurate normalization schemes in deep networks
Spotlight
Thu Dec 06 12:35 PM -- 12:40 PM (PST) @ Room 517 CD
Stochastic Chebyshev Gradient Descent for Spectral Optimization
Spotlight
Thu Dec 06 12:40 PM -- 12:45 PM (PST) @ Room 220 CD
Interactive Structure Learning with Structural Query-by-Committee
[
Slides]
[
Indexed Video]
Spotlight
Thu Dec 06 12:40 PM -- 12:45 PM (PST) @ Room 220 E
Constructing Fast Network through Deconstruction of Convolution
Spotlight
Thu Dec 06 12:40 PM -- 12:45 PM (PST) @ Room 517 CD
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Spotlight
Thu Dec 06 12:45 PM -- 12:50 PM (PST) @ Room 220 CD
Contour location via entropy reduction leveraging multiple information sources
Spotlight
Thu Dec 06 12:45 PM -- 12:50 PM (PST) @ Room 220 E
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Spotlight
Thu Dec 06 12:45 PM -- 12:50 PM (PST) @ Room 517 CD
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Oral
Thu Dec 06 12:50 PM -- 01:05 PM (PST) @ Room 220 CD
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
[
Video]
Oral
Thu Dec 06 12:50 PM -- 01:05 PM (PST) @ Room 220 E
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
[
Video]
Oral
Thu Dec 06 12:50 PM -- 01:05 PM (PST) @ Room 517 CD
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
Spotlight
Thu Dec 06 01:05 PM -- 01:10 PM (PST) @ Room 220 CD
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
[
Slides]
[
Indexed Video]
Spotlight
Thu Dec 06 01:05 PM -- 01:10 PM (PST) @ Room 220 E
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
Spotlight
Thu Dec 06 01:05 PM -- 01:10 PM (PST) @ Room 517 CD
Direct Runge-Kutta Discretization Achieves Acceleration
Spotlight
Thu Dec 06 01:10 PM -- 01:15 PM (PST) @ Room 220 CD
Learning convex bounds for linear quadratic control policy synthesis
Spotlight
Thu Dec 06 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Learning Loop Invariants for Program Verification
Spotlight
Thu Dec 06 01:10 PM -- 01:15 PM (PST) @ Room 517 CD
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives
Spotlight
Thu Dec 06 01:15 PM -- 01:20 PM (PST) @ Room 220 CD
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning
Spotlight
Thu Dec 06 01:15 PM -- 01:20 PM (PST) @ Room 220 E
DeepProbLog: Neural Probabilistic Logic Programming
Spotlight
Thu Dec 06 01:15 PM -- 01:20 PM (PST) @ Room 517 CD
(Probably) Concave Graph Matching
Spotlight
Thu Dec 06 01:20 PM -- 01:25 PM (PST) @ Room 220 CD
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Spotlight
Thu Dec 06 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Learning to Infer Graphics Programs from Hand-Drawn Images
Spotlight
Thu Dec 06 01:20 PM -- 01:25 PM (PST) @ Room 517 CD
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
Oral
Thu Dec 06 01:25 PM -- 01:40 PM (PST) @ Room 220 CD
Non-delusional Q-learning and value-iteration
[
Video]
Oral
Thu Dec 06 01:25 PM -- 01:40 PM (PST) @ Room 220 E
Learning to Reconstruct Shapes from Unseen Classes
[
Video]
Oral
Thu Dec 06 01:25 PM -- 01:40 PM (PST) @ Room 517 CD
Smoothed analysis of the low-rank approach for smooth semidefinite programs
[
Video]
Spotlight
Thu Dec 06 01:40 PM -- 01:45 PM (PST) @ Room 220 CD
Bilevel learning of the Group Lasso structure
Spotlight
Thu Dec 06 01:40 PM -- 01:45 PM (PST) @ Room 220 E
Improving Neural Program Synthesis with Inferred Execution Traces
Spotlight
Thu Dec 06 01:40 PM -- 01:45 PM (PST) @ Room 517 CD
Wasserstein Distributionally Robust Kalman Filtering
Spotlight
Thu Dec 06 01:45 PM -- 01:50 PM (PST) @ Room 220 CD
Binary Classification from Positive-Confidence Data
Spotlight
Thu Dec 06 01:45 PM -- 01:50 PM (PST) @ Room 220 E
ResNet with one-neuron hidden layers is a Universal Approximator
Spotlight
Thu Dec 06 01:45 PM -- 01:50 PM (PST) @ Room 517 CD
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
Spotlight
Thu Dec 06 01:50 PM -- 01:55 PM (PST) @ Room 220 CD
Fully Understanding The Hashing Trick
Spotlight
Thu Dec 06 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
Spotlight
Thu Dec 06 01:50 PM -- 01:55 PM (PST) @ Room 517 CD
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
Spotlight
Thu Dec 06 01:55 PM -- 02:00 PM (PST) @ Room 220 CD
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
Spotlight
Thu Dec 06 01:55 PM -- 02:00 PM (PST) @ Room 220 E
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Spotlight
Thu Dec 06 01:55 PM -- 02:00 PM (PST) @ Room 517 CD
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #1
Streamlining Variational Inference for Constraint Satisfaction Problems
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #2
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #3
Smoothed analysis of the low-rank approach for smooth semidefinite programs
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #4
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #5
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #6
Stochastic Chebyshev Gradient Descent for Spectral Optimization
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #7
Proximal SCOPE for Distributed Sparse Learning
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #8
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #9
Direct Runge-Kutta Discretization Achieves Acceleration
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #10
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #11
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #12
(Probably) Concave Graph Matching
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #13
Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #14
Wasserstein Distributionally Robust Kalman Filtering
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #15
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #16
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #17
Stochastic Spectral and Conjugate Descent Methods
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #18
Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #19
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #20
Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #21
Sparse DNNs with Improved Adversarial Robustness
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #22
Constructing Fast Network through Deconstruction of Convolution
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #23
Learning Loop Invariants for Program Verification
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #24
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #25
Learning to Infer Graphics Programs from Hand-Drawn Images
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #26
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #27
Norm matters: efficient and accurate normalization schemes in deep networks
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #28
ResNet with one-neuron hidden layers is a Universal Approximator
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #29
Hyperbolic Neural Networks
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #30
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #31
Improving Neural Program Synthesis with Inferred Execution Traces
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #32
Scaling the Poisson GLM to massive neural datasets through polynomial approximations
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #33
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #34
Learning to Reconstruct Shapes from Unseen Classes
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #35
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #37
A Reduction for Efficient LDA Topic Reconstruction
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #38
A Unified View of Piecewise Linear Neural Network Verification
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #39
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #40
The Convergence of Sparsified Gradient Methods
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #41
Estimating Learnability in the Sublinear Data Regime
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #42
Learning convex polytopes with margin
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #43
Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #44
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #45
Wavelet regression and additive models for irregularly spaced data
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #46
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #47
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #48
Robust Subspace Approximation in a Stream
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #50
A Practical Algorithm for Distributed Clustering and Outlier Detection
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #51
Compact Representation of Uncertainty in Clustering
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #52
Bipartite Stochastic Block Models with Tiny Clusters
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #53
Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #54
Understanding Regularized Spectral Clustering via Graph Conductance
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #55
Query K-means Clustering and the Double Dixie Cup Problem
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #56
How to tell when a clustering is (approximately) correct using convex relaxations
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #57
Derivative Estimation in Random Design
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #58
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #59
Boosted Sparse and Low-Rank Tensor Regression
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #60
An Efficient Pruning Algorithm for Robust Isotonic Regression
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #61
A convex program for bilinear inversion of sparse vectors
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #62
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #63
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #64
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #65
On Controllable Sparse Alternatives to Softmax
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #66
Sparse PCA from Sparse Linear Regression
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #67
Efficient Anomaly Detection via Matrix Sketching
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #69
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #70
Contrastive Learning from Pairwise Measurements
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #71
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #72
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #73
Representation Learning of Compositional Data
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #74
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #75
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #76
Optimal Subsampling with Influence Functions
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #77
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #78
Random Feature Stein Discrepancies
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #79
Informative Features for Model Comparison
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #80
On Fast Leverage Score Sampling and Optimal Learning
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #81
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #82
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #83
RetGK: Graph Kernels based on Return Probabilities of Random Walks
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #84
Nonparametric Density Estimation under Adversarial Losses
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #85
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #86
Gaussian Process Conditional Density Estimation
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #87
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #89
Multivariate Time Series Imputation with Generative Adversarial Networks
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #90
Fully Understanding The Hashing Trick
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #91
Learning semantic similarity in a continuous space
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #92
Bilevel learning of the Group Lasso structure
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #93
Bayesian Structure Learning by Recursive Bootstrap
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #94
Learning from Group Comparisons: Exploiting Higher Order Interactions
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #95
A Structured Prediction Approach for Label Ranking
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #96
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #97
Binary Classification from Positive-Confidence Data
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #99
Contour location via entropy reduction leveraging multiple information sources
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 210 #100
Multi-Class Learning: From Theory to Algorithm
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #101
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #102
A Smoother Way to Train Structured Prediction Models
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #103
Constrained Graph Variational Autoencoders for Molecule Design
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #104
Learning Beam Search Policies via Imitation Learning
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #105
Loss Functions for Multiset Prediction
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #106
Learning Confidence Sets using Support Vector Machines
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #107
Fast Similarity Search via Optimal Sparse Lifting
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #108
The Sparse Manifold Transform
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #109
When do random forests fail?
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #110
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #111
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #112
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #114
CatBoost: unbiased boosting with categorical features
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #115
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #116
Representation Learning for Treatment Effect Estimation from Observational Data
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #117
SimplE Embedding for Link Prediction in Knowledge Graphs
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #118
DeepProbLog: Neural Probabilistic Logic Programming
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #119
Watch Your Step: Learning Node Embeddings via Graph Attention
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #120
Invariant Representations without Adversarial Training
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #121
Domain-Invariant Projection Learning for Zero-Shot Recognition
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #122
Unsupervised Learning of View-invariant Action Representations
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #123
Neural Architecture Optimization
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #124
Scalable Hyperparameter Transfer Learning
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #125
Learning To Learn Around A Common Mean
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #126
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #127
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #128
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #129
Active Learning for Non-Parametric Regression Using Purely Random Trees
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #130
Interactive Structure Learning with Structural Query-by-Committee
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #131
Efficient nonmyopic batch active search
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #132
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #133
Online Adaptive Methods, Universality and Acceleration
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #134
Online Improper Learning with an Approximation Oracle
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #135
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #136
Approximating Real-Time Recurrent Learning with Random Kronecker Factors
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #137
Online Reciprocal Recommendation with Theoretical Performance Guarantees
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #138
Generalized Inverse Optimization through Online Learning
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #139
Adaptive Online Learning in Dynamic Environments
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #140
Online convex optimization for cumulative constraints
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #141
Efficient online algorithms for fast-rate regret bounds under sparsity
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #142
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #144
Policy Regret in Repeated Games
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #145
Query Complexity of Bayesian Private Learning
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #146
The Limits of Post-Selection Generalization
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #147
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #148
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #149
TopRank: A practical algorithm for online stochastic ranking
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #150
A Bandit Approach to Sequential Experimental Design with False Discovery Control
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #151
Adaptation to Easy Data in Prediction with Limited Advice
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #152
Differentially Private Contextual Linear Bandits
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #153
Community Exploration: From Offline Optimization to Online Learning
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #154
Adaptive Learning with Unknown Information Flows
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #155
Multi-armed Bandits with Compensation
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #156
Bandit Learning with Implicit Feedback
[
Paper]
[
3-Minute-Video]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #157
Optimistic optimization of a Brownian
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #158
Bandit Learning with Positive Externalities
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #159
An Information-Theoretic Analysis for Thompson Sampling with Many Actions
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #160
Distributed Multi-Player Bandits - a Game of Thrones Approach
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #161
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #162
Non-delusional Q-learning and value-iteration
[
Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #163
Differentiable MPC for End-to-end Planning and Control
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #164
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #165
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #166
Learning convex bounds for linear quadratic control policy synthesis
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #167
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #168
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
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Paper]
Poster
Thu Dec 06 02:00 PM -- 04:00 PM (PST) @ Room 517 AB
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
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Paper]
Break
Thu Dec 06 03:05 PM -- 03:30 PM (PST)
Coffee Break
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 511 ABDE
Critiquing and Correcting Trends in Machine Learning
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 514
2nd Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD 2)
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 220 E
Deep Reinforcement Learning
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 516 CDE
Imitation Learning and its Challenges in Robotics
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 515
Machine Learning for Geophysical & Geochemical Signals
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 510 ABCD
MLSys: Workshop on Systems for ML and Open Source Software
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 512 CDGH
Visually grounded interaction and language
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 519
The second Conversational AI workshop – today's practice and tomorrow's potential
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 220 D
Bayesian Deep Learning
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 516 AB
Workshop on Ethical, Social and Governance Issues in AI
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 512 ABEF
Smooth Games Optimization and Machine Learning
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 517 B
NIPS 2018 workshop on Compact Deep Neural Networks with industrial applications
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 513DEF
Workshop on Security in Machine Learning
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 518
NeurIPS 2018 Competition Track Day 1
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 511 CF
Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 517 C
Modeling the Physical World: Learning, Perception, and Control
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 517 D
All of Bayesian Nonparametrics (Especially the Useful Bits)
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 517 A
Continual Learning
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 513 ABC
Modeling and decision-making in the spatiotemporal domain
Workshop
Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 220 C
Causal Learning
Break
Fri Dec 07 10:30 AM -- 11:00 AM (PST)
Coffee Break
Break
Fri Dec 07 03:00 PM -- 03:30 PM (PST)
Coffee Break
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 510 AC
Machine Learning for Systems
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 512 CDGH
Privacy Preserving Machine Learning
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 524
Emergent Communication Workshop
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 220 E
NIPS 2018 Workshop on Meta-Learning
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 511 ABDE
CiML 2018 - Machine Learning competitions "in the wild": Playing in the real world or in real time
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 512 ABEF
Wordplay: Reinforcement and Language Learning in Text-based Games
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 511 CF
NeurIPS 2018 Competition Track Day 2
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 515
Machine Learning Open Source Software 2018: Sustainable communities
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 516 CDE
Infer to Control: Probabilistic Reinforcement Learning and Structured Control
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 220 D
Integration of Deep Learning Theories
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 513DEF
Interpretability and Robustness in Audio, Speech, and Language
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 519
Machine Learning for Molecules and Materials
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 516 AB
Learning by Instruction
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 517 B
AI for social good
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 517 C
Reinforcement Learning under Partial Observability
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 517 D
Machine Learning for Health (ML4H): Moving beyond supervised learning in healthcare
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 517 A
Relational Representation Learning
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 513 ABC
Medical Imaging meets NIPS
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 518
Second Workshop on Machine Learning for Creativity and Design
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 510 BD
Machine Learning for the Developing World (ML4D): Achieving sustainable impact
Workshop
Sat Dec 08 05:00 AM -- 03:30 PM (PST) @ Room 514
NIPS Workshop on Machine Learning for Intelligent Transportation Systems 2018
Break
Sat Dec 08 10:30 AM -- 11:00 AM (PST)
Coffee Break
Break
Sat Dec 08 03:00 PM -- 03:30 PM (PST)
Coffee Break
Break
Sat Dec 08 06:30 PM -- 08:30 PM (PST) @ Rooms 220 ABC Room 210 ABCD
Closing Reception