Below every paper are TOP 100 most-occuring words in that paper and their color is based on LDA topic model with k = 7.

(This is very hard but it looks like 0 = graphical models?, 1 = reinforcement learning?, 2 = deep learning, 3 = kernels?, 4 = theory?, 5 = optimization, 6 = matrix factorization?)

Toggle LDA topics to sort by:
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Also note that you can filter by the day each poster appears: click on the day next to a paper to filter by that day.

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants

Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos, Alex J. Smola

Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos, Alex J. Smola

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #77

Alternating Minimization for Regression Problems with Vector-valued Outputs

Prateek Jain, Ambuj Tewari

Prateek Jain, Ambuj Tewari

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #76

Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm

Qinqing Zheng, Ryota Tomioka

Qinqing Zheng, Ryota Tomioka

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #79

Subset Selection by Pareto Optimization

Chao Qian, Yang Yu, Zhi-Hua Zhou

Chao Qian, Yang Yu, Zhi-Hua Zhou

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #78

Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization

Niao He, Zaid Harchaoui

Niao He, Zaid Harchaoui

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #87

Fast, Provable Algorithms for Isotonic Regression in all L_p-norms

Rasmus Kyng, Anup Rao, Sushant Sachdeva

Rasmus Kyng, Anup Rao, Sushant Sachdeva

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #86

Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning

Christoph Dann, Emma Brunskill

Christoph Dann, Emma Brunskill

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #90

A Universal Primal-Dual Convex Optimization Framework

Alp Yurtsever, Quoc Tran Dinh, Volkan Cevher

Alp Yurtsever, Quoc Tran Dinh, Volkan Cevher

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #89

HONOR: Hybrid Optimization for NOn-convex Regularized problems

Pinghua Gong, Jieping Ye

Pinghua Gong, Jieping Ye

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #92

Private Graphon Estimation for Sparse Graphs

Christian Borgs, Jennifer Chayes, Adam Smith

Christian Borgs, Jennifer Chayes, Adam Smith

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #91

Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models

Akihiro Kishimoto, Radu Marinescu, Adi Botea

Akihiro Kishimoto, Radu Marinescu, Adi Botea

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #36

Bounding the Cost of Search-Based Lifted Inference

David B. Smith, Vibhav G. Gogate

David B. Smith, Vibhav G. Gogate

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #39

Parallelizing MCMC with Random Partition Trees

Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson

Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #44

Fast Lifted MAP Inference via Partitioning

Somdeb Sarkhel, Parag Singla, Vibhav G. Gogate

Somdeb Sarkhel, Parag Singla, Vibhav G. Gogate

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #45

Sample Efficient Path Integral Control under Uncertainty

Yunpeng Pan, Evangelos Theodorou, Michail Kontitsis

Yunpeng Pan, Evangelos Theodorou, Michail Kontitsis

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #42

Efficient Thompson Sampling for Online ￼Matrix-Factorization Recommendation

Jaya Kawale, Hung H. Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla

Jaya Kawale, Hung H. Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #43

Spatial Transformer Networks

Max Jaderberg, Karen Simonyan, Andrew Zisserman, koray kavukcuoglu

Max Jaderberg, Karen Simonyan, Andrew Zisserman, koray kavukcuoglu

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #3

A Reduced-Dimension fMRI Shared Response Model

Po-Hsuan (Cameron) Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James Haxby, Peter J. Ramadge

Po-Hsuan (Cameron) Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James Haxby, Peter J. Ramadge

Oral: Wed Dec 9th 02:50 - 03:30 PM @ Room 210 A

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #23

Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments

Dane S. Corneil, Wulfram Gerstner

Dane S. Corneil, Wulfram Gerstner

Oral: Wed Dec 9th 02:50 - 03:30 PM @ Room 210 A

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #10

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

Armand Joulin, Tomas Mikolov

Armand Joulin, Tomas Mikolov

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #9

Variance Reduced Stochastic Gradient Descent with Neighbors

Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien, Brian McWilliams

Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien, Brian McWilliams

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #78

Deep Convolutional Inverse Graphics Network

Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Josh Tenenbaum

Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Josh Tenenbaum

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #6

Learning to Segment Object Candidates

Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar

Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #8

The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors

Dan Rosenbaum, Yair Weiss

Dan Rosenbaum, Yair Weiss

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #12

Associative Memory via a Sparse Recovery Model

Arya Mazumdar, Ankit Singh Rawat

Arya Mazumdar, Ankit Singh Rawat

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #74

High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality

Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu

Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #73

Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent

Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep K. Ravikumar, Inderjit S. Dhillon

Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep K. Ravikumar, Inderjit S. Dhillon

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #76

Matrix Completion Under Monotonic Single Index Models

Ravi Sastry Ganti, Laura Balzano, Rebecca Willett

Ravi Sastry Ganti, Laura Balzano, Rebecca Willett

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #75

Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations

Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos, Larry Wasserman, james m. robins

Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos, Larry Wasserman, james m. robins

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #69

Action-Conditional Video Prediction using Deep Networks in Atari Games

Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh

Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #18

Local Smoothness in Variance Reduced Optimization

Daniel Vainsencher, Han Liu, Tong Zhang

Daniel Vainsencher, Han Liu, Tong Zhang

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #72

Bounding errors of Expectation-Propagation

Guillaume P. Dehaene, Simon Barthelmé

Guillaume P. Dehaene, Simon Barthelmé

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #70

Collaboratively Learning Preferences from Ordinal Data

Sewoong Oh, Kiran K. Thekumparampil, Jiaming Xu

Sewoong Oh, Kiran K. Thekumparampil, Jiaming Xu

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #74

SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk

Guillaume Papa, Stéphan Clémençon, Aurélien Bellet

Guillaume Papa, Stéphan Clémençon, Aurélien Bellet

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #75

Active Learning from Weak and Strong Labelers

Chicheng Zhang, Kamalika Chaudhuri

Chicheng Zhang, Kamalika Chaudhuri

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #46

Fast Second Order Stochastic Backpropagation for Variational Inference

Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine A. Heller

Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine A. Heller

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #38

Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution

Yan Huang, Wei Wang, Liang Wang

Yan Huang, Wei Wang, Liang Wang

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #6

Model-Based Relative Entropy Stochastic Search

Abbas Abdolmaleki, Rudolf Lioutikov, Jan R. Peters, Nuno Lau, Luis Pualo Reis, Gerhard Neumann

Abbas Abdolmaleki, Rudolf Lioutikov, Jan R. Peters, Nuno Lau, Luis Pualo Reis, Gerhard Neumann

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #40

Learnability of Influence in Networks

Harikrishna Narasimhan, David C. Parkes, Yaron Singer

Harikrishna Narasimhan, David C. Parkes, Yaron Singer

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #49

Expectation Particle Belief Propagation

Thibaut Lienart, Yee Whye Teh, Arnaud Doucet

Thibaut Lienart, Yee Whye Teh, Arnaud Doucet

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #42