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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #1
Deep Visual Analogy-Making
Scott E Reed · Yi Zhang · Yuting Zhang · Honglak Lee
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #2
Where are they looking?
Adria Recasens · Aditya Khosla · Carl Vondrick · Antonio Torralba
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #3
Spatial Transformer Networks
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #4
Training Very Deep Networks
Rupesh K Srivastava · Klaus Greff · Jürgen Schmidhuber
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #5
Attention-Based Models for Speech Recognition
Jan K Chorowski · Dzmitry Bahdanau · Dmitriy Serdyuk · Kyunghyun Cho · Yoshua Bengio
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #6
Deep Convolutional Inverse Graphics Network
Tejas Kulkarni · William Whitney · Pushmeet Kohli · Josh Tenenbaum
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #7
End-To-End Memory Networks
Sainbayar Sukhbaatar · arthur szlam · Jason Weston · Rob Fergus
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #8
Learning to Segment Object Candidates
Pedro O. Pinheiro · Ronan Collobert · Piotr Dollar
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #9
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin · Tomas Mikolov
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #10
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments
Dane S Corneil · Wulfram Gerstner
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #11
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
Rie Johnson · Tong Zhang
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #12
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors
Dan Rosenbaum · Yair Weiss
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #13
Backpropagation for Energy-Efficient Neuromorphic Computing
Steve Esser · Rathinakumar Appuswamy · Paul Merolla · John Arthur · Dharmendra S Modha
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #14
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba · Russ Salakhutdinov · Roger Grosse · Brendan J Frey
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #15
On-the-Job Learning with Bayesian Decision Theory
Keenon Werling · Arun Tejasvi Chaganty · Percy Liang · Christopher Manning
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #16
Color Constancy by Learning to Predict Chromaticity from Luminance
Ayan Chakrabarti
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #17
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong · Hyeonwoo Noh · Bohyung Han
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #18
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #19
Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner · Gustavo Malkomes · Roman Garnett · Kilian Weinberger · Dennis Barbour · John Cunningham
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #20
Efficient and Robust Automated Machine Learning
Matthias Feurer · Aaron Klein · Katharina Eggensperger · Jost Springenberg · Manuel Blum · Frank Hutter
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #21
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
Peter Schulam · Suchi Saria
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #22
Pointer Networks
Oriol Vinyals · Meire Fortunato · Navdeep Jaitly
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #23
A Reduced-Dimension fMRI Shared Response Model
Cameron Po-Hsuan Chen · Janice Chen · Yaara Yeshurun · Uri Hasson · James Haxby · Peter J Ramadge
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #24
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent · Alexandre de Brébisson · Xavier Bouthillier
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #25
Precision-Recall-Gain Curves: PR Analysis Done Right
Peter Flach · Meelis Kull
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #26
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding
Yuval Harel · Ron Meir · Manfred Opper
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #27
Equilibrated adaptive learning rates for non-convex optimization
Yann Dauphin · Harm de Vries · Yoshua Bengio
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #28
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
Kevin G Jamieson · Lalit Jain · Chris Fernandez · Nicholas J. Glattard · Rob Nowak
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #29
Gaussian Process Random Fields
Dave Moore · Stuart J Russell
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #30
MCMC for Variationally Sparse Gaussian Processes
James Hensman · Alexander Matthews · Maurizio Filippone · Zoubin Ghahramani
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #31
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
Trevor Campbell · Julian Straub · John Fisher III · Jonathan How
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #32
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
David I Inouye · Pradeep Ravikumar · Inderjit Dhillon
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #33
Human Memory Search as Initial-Visit Emitting Random Walk
Kwang-Sung Jun · Jerry Zhu · Timothy T Rogers · Zhuoran Yang · Ming Yuan
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #34
Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani · Tara Sainath · Sanjiv Kumar
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #35
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
Chicheng Zhang · Jimin Song · Kamalika Chaudhuri · Kevin Chen
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #36
A Structural Smoothing Framework For Robust Graph Comparison
Pinar Yanardag · S.V.N. Vishwanathan
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #37
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
Ted Meeds · Max Welling
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #38
Inverse Reinforcement Learning with Locally Consistent Reward Functions
Quoc Phong Nguyen · Bryan Kian Hsiang Low · Patrick Jaillet
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #39
Consistent Multilabel Classification
Oluwasanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #40
Is Approval Voting Optimal Given Approval Votes?
Ariel Procaccia · Nisarg Shah
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #41
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
Cengiz Pehlevan · Dmitri Chklovskii
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #42
Efficient Non-greedy Optimization of Decision Trees
Mohammad Norouzi · Maxwell Collins · Matthew A Johnson · David Fleet · Pushmeet Kohli
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #43
Statistical Topological Data Analysis - A Kernel Perspective
Roland Kwitt · Stefan Huber · Marc Niethammer · Weili Lin · Ulrich Bauer
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #44
Variational Consensus Monte Carlo
Maxim Rabinovich · Elaine Angelino · Michael Jordan
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #45
Softstar: Heuristic-Guided Probabilistic Inference
Mathew Monfort · Brenden M Lake · Brenden Lake · Brian Ziebart · Patrick Lucey · Josh Tenenbaum
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #46
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
Heiko Strathmann · Dino Sejdinovic · Samuel Livingstone · Zoltan Szabo · Arthur Gretton
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #47
A Complete Recipe for Stochastic Gradient MCMC
Yi-An Ma · Tianqi Chen · Emily Fox
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #48
Barrier Frank-Wolfe for Marginal Inference
Rahul G Krishnan · Simon Lacoste-Julien · David Sontag
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #49
Practical and Optimal LSH for Angular Distance
Alexandr Andoni · Piotr Indyk · Thijs Laarhoven · Ilya Razenshteyn · Ludwig Schmidt
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #50
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions
Jonas Mueller · Tommi Jaakkola
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #51
Kullback-Leibler Proximal Variational Inference
Mohammad Emtiyaz Khan · Pierre Baque · François Fleuret · Pascal Fua
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #52
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring
Gunwoong Park · Garvesh Raskutti
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #53
Streaming Min-max Hypergraph Partitioning
Dan Alistarh · Jennifer Iglesias · Milan Vojnovic
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #54
Efficient Output Kernel Learning for Multiple Tasks
Pratik Kumar Jawanpuria · Maksim Lapin · Matthias Hein · Bernt Schiele
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #55
Gradient Estimation Using Stochastic Computation Graphs
John Schulman · Nicolas Heess · Theophane Weber · Pieter Abbeel
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #56
Lifted Inference Rules With Constraints
Happy Mittal · Anuj Mahajan · Vibhav Gogate · Parag Singla
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #57
Sparse PCA via Bipartite Matchings
Megasthenis Asteris · Dimitris Papailiopoulos · Anastasios Kyrillidis · Alexandros Dimakis
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #58
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
Takashi Takenouchi · Takafumi Kanamori
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #59
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
Fredrik D Johansson · Ankani Chattoraj · Chiranjib Bhattacharyya · Devdatt Dubhashi
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #60
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
Balázs Szörényi · Róbert Busa-Fekete · Adil Paul · Eyke Hüllermeier
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #61
Segregated Graphs and Marginals of Chain Graph Models
Ilya Shpitser
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #62
Approximating Sparse PCA from Incomplete Data
ABHISEK KUNDU · Petros Drineas · Malik Magdon-Ismail
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #63
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection
Jie Wang · Jieping Ye
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #64
Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters
Emmanuel Abbe · Colin Sandon
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #65
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
Justin Domke
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #66
Testing Closeness With Unequal Sized Samples
Bhaswar Bhattacharya · Gregory Valiant
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #67
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam · Murat Kocaoglu · Alexandros Dimakis · Sriram Vishwanath
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #68
Regret-Based Pruning in Extensive-Form Games
Noam Brown · Tuomas Sandholm
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #69
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
Kirthevasan Kandasamy · Akshay Krishnamurthy · Barnabas Poczos · Larry Wasserman · james m robins
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #70
Bounding errors of Expectation-Propagation
Guillaume Dehaene · Simon Barthelmé
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #71
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents
Mithun Chakraborty · Sanmay Das
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #72
Local Smoothness in Variance Reduced Optimization
Daniel Vainsencher · Han Liu · Tong Zhang
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #73
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang · Quanquan Gu · Yang Ning · Han Liu
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #74
Associative Memory via a Sparse Recovery Model
Arya Mazumdar · Ankit Singh Rawat
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #75
Matrix Completion Under Monotonic Single Index Models
Ravi Ganti · Laura Balzano · Rebecca Willett
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #76
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
Ian En-Hsu Yen · Kai Zhong · Cho-Jui Hsieh · Pradeep Ravikumar · Inderjit Dhillon
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #77
Convergence rates of sub-sampled Newton methods
Murat Erdogdu · Andrea Montanari
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #78
Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann · Aurelien Lucchi · Simon Lacoste-Julien · Brian McWilliams
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #79
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
Wei Sun · Zhaoran Wang · Han Liu · Guang Cheng
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #80
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Kamalika Chaudhuri · Sham Kakade · Praneeth Netrapalli · Sujay Sanghavi
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #81
When are Kalman-Filter Restless Bandits Indexable?
Christopher R Dance · Tomi Silander
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #82
Policy Gradient for Coherent Risk Measures
Aviv Tamar · Yinlam Chow · Mohammad Ghavamzadeh · Shie Mannor
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #83
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
Ian En-Hsu Yen · Shan-Wei Lin · Shou-De Lin
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #84
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien · Martin Jaggi
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #85
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
Zheng Qu · Peter Richtarik · Tong Zhang
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #86
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
Tasuku Soma · Yuichi Yoshida
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #87
A Universal Catalyst for First-Order Optimization
Hongzhou Lin · Julien Mairal · Zaid Harchaoui
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #88
Fast and Memory Optimal Low-Rank Matrix Approximation
Se-Young Yun · marc lelarge · Alexandre Proutiere
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #89
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
Tian Lin · Jian Li · Wei Chen
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #90
Linear Multi-Resource Allocation with Semi-Bandit Feedback
Tor Lattimore · Yacov Crammer · Csaba Szepesvari
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #91
Exactness of Approximate MAP Inference in Continuous MRFs
Nicholas Ruozzi
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #92
On the consistency theory of high dimensional variable screening
Xiangyu Wang · Chenlei Leng · David B Dunson
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #93
Finite-Time Analysis of Projected Langevin Monte Carlo
Sebastien Bubeck · Ronen Eldan · Joseph Lehec
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #94
Optimal Testing for Properties of Distributions
Jayadev Acharya · Constantinos Daskalakis · Gautam Kamath
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #95
Learning Theory and Algorithms for Forecasting Non-stationary Time Series
Vitaly Kuznetsov · Mehryar Mohri
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #96
Accelerated Mirror Descent in Continuous and Discrete Time
Walid Krichene · Alexandre Bayen · Peter Bartlett
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #97
Information-theoretic lower bounds for convex optimization with erroneous oracles
Yaron Singer · Jan Vondrak
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #98
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
Ofer Dekel · Ronen Eldan · Tomer Koren
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #99
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
Vidyashankar Sivakumar · Arindam Banerjee · Pradeep Ravikumar
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Poster
Wed Dec 09 04:00 PM -- 08:59 PM (PST) @ 210 C #100
Adaptive Online Learning
Dylan Foster · Alexander Rakhlin · Karthik Sridharan
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