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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #1
Teaching Machines to Read and Comprehend
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #2
Saliency, Scale and Information: Towards a Unifying Theory
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #3
Semi-supervised Learning with Ladder Networks
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #4
Enforcing balance allows local supervised learning in spiking recurrent networks
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #7
Learning to Linearize Under Uncertainty
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #8
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #10
Convolutional Networks on Graphs for Learning Molecular Fingerprints
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #11
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #12
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #13
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #15
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #16
A Gaussian Process Model of Quasar Spectral Energy Distributions
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #17
Neural Adaptive Sequential Monte Carlo
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #18
Convolutional spike-triggered covariance analysis for neural subunit models
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #20
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #22
GP Kernels for Cross-Spectrum Analysis
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #23
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #24
Particle Gibbs for Infinite Hidden Markov Models
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #25
Sparse Local Embeddings for Extreme Multi-label Classification
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #26
Robust Spectral Inference for Joint Stochastic Matrix Factorization
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #28
A fast, universal algorithm to learn parametric nonlinear embeddings
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #29
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #30
Local Causal Discovery of Direct Causes and Effects
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #31
Discriminative Robust Transformation Learning
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #32
Max-Margin Majority Voting for Learning from Crowds
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #33
M-Best-Diverse Labelings for Submodular Energies and Beyond
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #34
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #35
Time-Sensitive Recommendation From Recurrent User Activities
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #36
Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #37
Logarithmic Time Online Multiclass prediction
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #38
Scalable Semi-Supervised Aggregation of Classifiers
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #39
Bounding the Cost of Search-Based Lifted Inference
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #40
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #41
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #42
Sample Efficient Path Integral Control under Uncertainty
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #43
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #44
Parallelizing MCMC with Random Partition Trees
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #45
Fast Lifted MAP Inference via Partitioning
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #46
Active Learning from Weak and Strong Labelers
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #47
Fast and Guaranteed Tensor Decomposition via Sketching
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #48
Spherical Random Features for Polynomial Kernels
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #49
Learnability of Influence in Networks
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #50
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #51
Differentially private subspace clustering
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #52
Compressive spectral embedding: sidestepping the SVD
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #53
Generalization in Adaptive Data Analysis and Holdout Reuse
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #55
Matrix Completion with Noisy Side Information
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #56
A Market Framework for Eliciting Private Data
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #57
Optimal Ridge Detection using Coverage Risk
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #58
Fast Distributed k-Center Clustering with Outliers on Massive Data
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #59
Orthogonal NMF through Subspace Exploration
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #60
Fast Classification Rates for High-dimensional Gaussian Generative Models
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #61
Efficient and Parsimonious Agnostic Active Learning
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #62
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #63
Less is More: Nyström Computational Regularization
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #64
Predtron: A Family of Online Algorithms for General Prediction Problems
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #65
On the Optimality of Classifier Chain for Multi-label Classification
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #66
Smooth Interactive Submodular Set Cover
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #67
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #68
Secure Multi-party Differential Privacy
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #69
Adaptive Stochastic Optimization: From Sets to Paths
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #70
Learning structured densities via infinite dimensional exponential families
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #71
Lifelong Learning with Non-i.i.d. Tasks
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #72
Learning with Symmetric Label Noise: The Importance of Being Unhinged
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #73
Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #74
From random walks to distances on unweighted graphs
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #75
Robust Regression via Hard Thresholding
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #76
Column Selection via Adaptive Sampling
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #77
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #78
Optimal Linear Estimation under Unknown Nonlinear Transform
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #79
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #80
Learning with Incremental Iterative Regularization
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #81
No-Regret Learning in Bayesian Games
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #82
Sparse and Low-Rank Tensor Decomposition
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #83
Analysis of Robust PCA via Local Incoherence
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #84
Algorithmic Stability and Uniform Generalization
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #85
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #86
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #87
Unified View of Matrix Completion under General Structural Constraints
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #89
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #90
Online Learning for Adversaries with Memory: Price of Past Mistakes
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #91
Revenue Optimization against Strategic Buyers
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #92
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #93
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #94
Cornering Stationary and Restless Mixing Bandits with Remix-UCB
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #95
Fighting Bandits with a New Kind of Smoothness
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #96
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #97
The Pareto Regret Frontier for Bandits
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #98
Online Learning with Gaussian Payoffs and Side Observations
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #99
Fast Rates for Exp-concave Empirical Risk Minimization
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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #100
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
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