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112 Program Highlights »
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Spotlight
Tue Dec 5th 11:25 -- 11:30 AM @ Hall A
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen · Harri Valpola
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Tue Dec 5th 11:25 -- 11:30 AM @ Hall C
Gradient Descent Can Take Exponential Time to Escape Saddle Points
Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos
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Tue Dec 5th 11:30 -- 11:35 AM @ Hall A
Communication-Efficient Stochastic Gradient Descent, with Applications to Neural Networks
Dan Alistarh · Demjan Grubic · Jerry Li · Ryota Tomioka · Milan Vojnovic
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Tue Dec 5th 11:30 -- 11:35 AM @ Hall C
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason Altschuler · Jonathan Weed · Philippe Rigollet
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Tue Dec 5th 11:35 -- 11:40 AM @ Hall A
Inhomogoenous Hypergraph Clustering with Applications
Pan Li · Olgica Milenkovic
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Tue Dec 5th 11:35 -- 11:40 AM @ Hall C
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization
Yossi Arjevani
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Tue Dec 5th 11:40 -- 11:45 AM @ Hall A
K-Medoids For K-Means Seeding
James Newling · François Fleuret
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Tue Dec 5th 11:40 -- 11:45 AM @ Hall C
Implicit Regularization in Matrix Factorization
Suriya Gunasekar · Blake Woodworth · Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
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Tue Dec 5th 11:45 -- 11:50 AM @ Hall A
Online Learning with Transductive Regret
Scott Yang · Mehryar Mohri
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Tue Dec 5th 11:45 -- 11:50 AM @ Hall C
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
Zeyuan Allen-Zhu · Elad Hazan · Wei Hu · Yuanzhi Li
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Tue Dec 5th 11:50 -- 11:55 AM @ Hall A
Matrix Norm Estimation from a Few Entries
Ashish Khetan · Sewoong Oh
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Tue Dec 5th 11:50 -- 11:55 AM @ Hall C
Acceleration and Averaging in Stochastic Descent Dynamics
Walid Krichene · Peter Bartlett
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Tue Dec 5th 11:55 AM -- 12:00 PM @ Hall A
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
Arya Mazumdar · Soumyabrata Pal
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Tue Dec 5th 11:55 AM -- 12:00 PM @ Hall C
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
Mert Gurbuzbalaban · Asuman Ozdaglar · Pablo A Parrilo · Nuri Vanli
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Tue Dec 5th 03:20 -- 03:25 PM @ Hall A
Differentiable Learning of Submodular Functions
Josip Djolonga · Andreas Krause
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Tue Dec 5th 03:20 -- 03:25 PM @ Hall C
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu · Maxim Raginsky
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Tue Dec 5th 03:25 -- 03:30 PM @ Hall A
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu · Eric Chi · Kenneth Lange
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Tue Dec 5th 03:25 -- 03:30 PM @ Hall C
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi · Afshin Abdi · Nam Nguyen · Justin Romberg
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Tue Dec 5th 03:30 -- 03:35 PM @ Hall A
Decomposable Submodular Function Minimization: Discrete and Continuous
Alina Ene · Huy Nguyen · László A. Végh
Spotlight
Tue Dec 5th 03:30 -- 03:35 PM @ Hall C
Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian · Konstantin Makarychev · Miklos Racz · Siena Ang · Djordje Jevdjic · Sergey Yekhanin · Luis Ceze · Karin Strauss
Spotlight
Tue Dec 5th 03:35 -- 03:40 PM @ Hall A
Unbiased estimates for linear regression via volume sampling
Michal Derezinski · Manfred Warmuth
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Tue Dec 5th 03:35 -- 03:40 PM @ Hall C
On the Complexity of Learning Neural Networks
Le Song · Santosh Vempala · John Wilmes · Bo Xie
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Tue Dec 5th 03:40 -- 03:45 PM @ Hall A
On Frank-Wolfe and Equilibrium Computation
Jacob D Abernethy · Jun-Kun Wang
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Tue Dec 5th 03:40 -- 03:45 PM @ Hall C
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
Gerasimos Palaiopanos · Ioannis Panageas · Georgios Piliouras
Spotlight
Tue Dec 5th 03:45 -- 03:50 PM @ Hall A
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
Adarsh Prasad · Alexandru Niculescu-Mizil · Pradeep Ravikumar
Spotlight
Tue Dec 5th 03:45 -- 03:50 PM @ Hall C
Estimating Mutual Information for Discrete-Continuous Mixtures
Weihao Gao · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
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Tue Dec 5th 05:05 -- 05:10 PM @ Hall A
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin · Cong Zhao · Wei Pan
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Tue Dec 5th 05:05 -- 05:10 PM @ Hall C
Posterior sampling for reinforcement learning: worst-case regret bounds
Shipra Agrawal · Randy Jia
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Tue Dec 5th 05:10 -- 05:15 PM @ Hall A
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi · Zhihan Gao · Leonard Lausen · Hao Wang · Dit-Yan Yeung · Wai-kin Wong · Wang-chun WOO
Spotlight
Tue Dec 5th 05:10 -- 05:15 PM @ Hall C
Regret Analysis for Continuous Dueling Bandit
Wataru Kumagai
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Tue Dec 5th 05:15 -- 05:20 PM @ Hall A
Poincaré Embeddings for Learning Hierarchical Representations
Maximillian Nickel · Douwe Kiela
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Tue Dec 5th 05:15 -- 05:20 PM @ Hall C
Minimal Exploration in Structured Stochastic Bandits
Richard Combes · Stefan Magureanu · Alexandre Proutiere
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Tue Dec 5th 05:20 -- 05:25 PM @ Hall A
Deep Hyperspherical Learning
Weiyang Liu · Yan-Ming Zhang · Xingguo Li · Zhiding Yu · Bo Dai · Tuo Zhao · Le Song
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Tue Dec 5th 05:20 -- 05:25 PM @ Hall C
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
Quentin Berthet · Vianney Perchet
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Tue Dec 5th 05:25 -- 05:30 PM @ Hall A
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall · Yarin Gal
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Tue Dec 5th 05:25 -- 05:30 PM @ Hall C
Diving into the shallows: a computational perspective on large-scale shallow learning
SIYUAN MA · Mikhail Belkin
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Tue Dec 5th 05:30 -- 05:35 PM @ Hall A
One-Sided Unsupervised Domain Mapping
Sagie Benaim · Lior Wolf
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Tue Dec 5th 05:30 -- 05:35 PM @ Hall C
Monte-Carlo Tree Search by Best Arm Identification
Emilie Kaufmann · Wouter M Koolen
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Tue Dec 5th 05:35 -- 05:40 PM @ Hall A
Deep Mean-Shift Priors for Image Restoration
Siavash Arjomand Bigdeli · Matthias Zwicker · Paolo Favaro · Meiguang Jin
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Tue Dec 5th 05:35 -- 05:40 PM @ Hall C
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
Fanny Yang · Aaditya Ramdas · Kevin Jamieson · Martin Wainwright
Spotlight
Tue Dec 5th 05:40 -- 05:45 PM @ Hall A
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Andrew Gibiansky · Sercan Arik · Gregory Diamos · John Miller · Kainan Peng · Wei Ping · Jonathan Raiman · Yanqi Zhou
Spotlight
Tue Dec 5th 05:40 -- 05:45 PM @ Hall C
Parameter-Free Online Learning via Model Selection
Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan
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Tue Dec 5th 05:45 -- 05:50 PM @ Hall A
Graph Matching via Multiplicative Update Algorithm
Bo Jiang · Jin Tang · Chris Ding · Yihong Gong · Bin Luo
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Tue Dec 5th 05:45 -- 05:50 PM @ Hall C
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
Zhan Shi · Xinhua Zhang · Yaoliang Yu
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Tue Dec 5th 05:50 -- 05:55 PM @ Hall A
Dynamic Routing Between Capsules
Sara Sabour · Nicholas Frosst · Geoffrey E Hinton
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Tue Dec 5th 05:50 -- 05:55 PM @ Hall C
Gaussian Quadrature for Kernel Features
Tri Dao · Christopher M De Sa · Christopher Ré
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Tue Dec 5th 05:55 -- 06:00 PM @ Hall A
Modulating early visual processing by language
Harm de Vries · Florian Strub · Jeremie Mary · Hugo Larochelle · Olivier Pietquin · Aaron C Courville
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Tue Dec 5th 05:55 -- 06:00 PM @ Hall C
Online Learning of Linear Dynamical Systems
Elad Hazan · Karan Singh · Cyril Zhang
Spotlight
Wed Dec 6th 11:20 -- 11:25 AM @ Hall A
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
Noga Alon · Moshe Babaioff · Yannai A. Gonczarowski · Yishay Mansour · Shay Moran · Amir Yehudayoff
Spotlight
Wed Dec 6th 11:20 -- 11:25 AM @ Hall C
f-GANs in an Information Geometric Nutshell
Richard Nock · Zac Cranko · Aditya K Menon · Lizhen Qu · Robert C Williamson
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Wed Dec 6th 11:25 -- 11:30 AM @ Hall A
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
Jeffrey Regier · Michael Jordan · Jon McAuliffe
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Wed Dec 6th 11:25 -- 11:30 AM @ Hall C
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu · Thomas Breuel · Jan Kautz
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Wed Dec 6th 11:30 -- 11:35 AM @ Hall A
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Ashkan Panahi · Babak Hassibi
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Wed Dec 6th 11:30 -- 11:35 AM @ Hall C
The Numerics of GANs
Lars Mescheder · Sebastian Nowozin · Andreas Geiger
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Wed Dec 6th 11:35 -- 11:40 AM @ Hall A
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro · Simon Kamronn · Ulrich Paquet · Ole Winther
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Wed Dec 6th 11:35 -- 11:40 AM @ Hall C
Dual Discriminator Generative Adversarial Nets
Tu Nguyen · Trung Le · Hung Vu · Dinh Phung
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Wed Dec 6th 11:40 -- 11:45 AM @ Hall A
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
Chaobing Song · Shaobo Cui · Yong Jiang · Shu-Tao Xia
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Wed Dec 6th 11:40 -- 11:45 AM @ Hall C
Bayesian GANs
Yunus Saatci · Andrew Wilson
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Wed Dec 6th 11:45 -- 11:50 AM @ Hall A
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Yuting Wei · Fanny Yang · Martin Wainwright
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Wed Dec 6th 11:45 -- 11:50 AM @ Hall C
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri
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Wed Dec 6th 11:50 -- 11:55 AM @ Hall A
Spectrally-normalized margin bounds for neural networks
Peter Bartlett · Dylan J Foster · Matus Telgarsky
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Wed Dec 6th 11:50 -- 11:55 AM @ Hall C
Dualing GANs
Yujia Li · Alexander Schwing · Kuan-Chieh Wang · Richard Zemel
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Wed Dec 6th 11:55 AM -- 12:00 PM @ Hall A
The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang · Yue Lu
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Wed Dec 6th 11:55 AM -- 12:00 PM @ Hall C
Generalizing GANs: A Turing Perspective
Roderich Gross · Yue Gu · Wei Li · Melvin Gauci
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Wed Dec 6th 03:20 -- 03:25 PM @ Hall A
Dual Path Networks
Yunpeng Chen · Jianan Li · Huaxin Xiao · Xiaojie Jin · Shuicheng Yan · Jiashi Feng
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Wed Dec 6th 03:20 -- 03:25 PM @ Hall C
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien
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Wed Dec 6th 03:25 -- 03:30 PM @ Hall A
A simple neural network module for relational reasoning
Adam Santoro · David Raposo · David Barrett · Mateusz Malinowski · Razvan Pascanu · Peter Battaglia · Tim Lillicrap
Spotlight
Wed Dec 6th 03:25 -- 03:30 PM @ Hall C
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
Alberto Bietti · Julien Mairal
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Wed Dec 6th 03:30 -- 03:35 PM @ Hall A
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu · Elman Mansimov · Roger Grosse · Shun Liao · Jimmy Ba
Spotlight
Wed Dec 6th 03:30 -- 03:35 PM @ Hall C
Process-constrained batch Bayesian optimisation
Pratibha Vellanki · Santu Rana · Sunil Gupta · David Rubin · Alessandra Sutti · Thomas Dorin · Murray Height · Paul Sanders · Svetha Venkatesh
Spotlight
Wed Dec 6th 03:35 -- 03:40 PM @ Hall A
Attention is All you Need
Ashish Vaswani · Noam Shazeer · Niki Parmar · Jakob Uszkoreit · Llion Jones · Aidan N Gomez · Łukasz Kaiser · Illia Polosukhin
Spotlight
Wed Dec 6th 03:35 -- 03:40 PM @ Hall C
Safe Adaptive Importance Sampling
Sebastian U Stich · Anant Raj · Martin Jaggi
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Wed Dec 6th 03:40 -- 03:45 PM @ Hall A
Learning Combinatorial Optimization Algorithms over Graphs
Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song
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Wed Dec 6th 03:40 -- 03:45 PM @ Hall C
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
Omar El Housni · Vineet Goyal
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Wed Dec 6th 03:45 -- 03:50 PM @ Hall A
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan · Alexander Pritzel · Charles Blundell
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Wed Dec 6th 03:45 -- 03:50 PM @ Hall C
Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus · Yifan Sun · Suhas Diggavi · Wotao Yin
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Wed Dec 6th 05:05 -- 05:10 PM @ Hall A
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
El Mahdi El Mhamdi · Rachid Guerraoui · Hadrien Hendrikx · Alexandre Maurer
Spotlight
Wed Dec 6th 05:05 -- 05:10 PM @ Hall C
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
James McInerney
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Wed Dec 6th 05:10 -- 05:15 PM @ Hall A
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann · Tor Lattimore · Emma Brunskill
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Wed Dec 6th 05:10 -- 05:15 PM @ Hall C
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
Jonathan Huggins · Ryan Adams · Tamara Broderick
Spotlight
Wed Dec 6th 05:15 -- 05:20 PM @ Hall A
Repeated Inverse Reinforcement Learning
Kareem Amin · Nan Jiang · Satinder Singh
Spotlight
Wed Dec 6th 05:15 -- 05:20 PM @ Hall C
Multiresolution Kernel Approximation for Gaussian Process Regression
Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler
Spotlight
Wed Dec 6th 05:20 -- 05:25 PM @ Hall A
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi · Hakan Bilen · Andrea Vedaldi
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Wed Dec 6th 05:20 -- 05:25 PM @ Hall C
Multi-Information Source Optimization
Matthias Poloczek · Jialei Wang · Peter Frazier
Spotlight
Wed Dec 6th 05:25 -- 05:30 PM @ Hall A
Natural Value Approximators: Learning when to Trust Past Estimates
Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver · Tom Schaul
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Wed Dec 6th 05:25 -- 05:30 PM @ Hall C
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni · Marc Deisenroth
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Wed Dec 6th 05:30 -- 05:35 PM @ Hall A
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu · John Co-Reyes · Sergey Levine
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Wed Dec 6th 05:30 -- 05:35 PM @ Hall C
Permutation-based Causal Inference Algorithms with Interventions
Yuhao Wang · Liam Solus · Karren Yang · Caroline Uhler
Spotlight
Wed Dec 6th 05:35 -- 05:40 PM @ Hall A
Regret Minimization in MDPs with Options without Prior Knowledge
Ronan Fruit · Matteo Pirotta · Alessandro Lazaric · Emma Brunskill
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Wed Dec 6th 05:35 -- 05:40 PM @ Hall C
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
John T Halloran · David M Rocke
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Wed Dec 6th 05:40 -- 05:45 PM @ Hall A
Successor Features for Transfer in Reinforcement Learning
Andre Barreto · Will Dabney · Remi Munos · Jonathan Hunt · Tom Schaul · David Silver · Hado van Hasselt
Spotlight
Wed Dec 6th 05:40 -- 05:45 PM @ Hall C
Style Transfer from Non-parallel Text by Cross-Alignment
Tianxiao Shen · Tao Lei · Regina Barzilay · Tommi Jaakkola
Spotlight
Wed Dec 6th 05:45 -- 05:50 PM @ Hall A
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee · Jin-Hwa Kim · Jaehyun Jun · Jung-Woo Ha · Byoung-Tak Zhang
Spotlight
Wed Dec 6th 05:45 -- 05:50 PM @ Hall C
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang · Yihe Tang · Jian Wang · Jia Deng
Spotlight
Wed Dec 6th 05:50 -- 05:55 PM @ Hall A
Fair Clustering Through Fairlets
Flavio Chierichetti · Ravi Kumar · Silvio Lattanzi · Sergei Vassilvitskii
Spotlight
Wed Dec 6th 05:50 -- 05:55 PM @ Hall C
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
Ahmed M. Alaa · Mihaela van der Schaar
Spotlight
Wed Dec 6th 05:55 -- 06:00 PM @ Hall A
Fitting Low-Rank Tensors in Constant Time
Kohei Hayashi · Yuichi Yoshida
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Wed Dec 6th 05:55 -- 06:00 PM @ Hall C
Unsupervised Learning of Disentangled Representations from Video
Emily Denton · vighnesh Birodkar
Spotlight
Thu Dec 7th 11:55 AM -- 12:00 PM @ Hall A
Scene Physics Acquisition via Visual De-animation
Jiajun Wu · Erika Lu · Pushmeet Kohli · Bill Freeman · Josh Tenenbaum
Spotlight
Thu Dec 7th 11:55 AM -- 12:00 PM @ Hall C
Self-Normalizing Neural Networks
Günter Klambauer · Thomas Unterthiner · Andreas Mayr · Sepp Hochreiter
Spotlight
Thu Dec 7th 12:00 -- 12:05 PM @ Hall A
Shape and Material from Sound
Zhoutong Zhang · Qiujia Li · Zhengjia Huang · Jiajun Wu · Josh Tenenbaum · Bill Freeman
Spotlight
Thu Dec 7th 12:00 -- 12:05 PM @ Hall C
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
Spotlight
Thu Dec 7th 12:05 -- 12:10 PM @ Hall A
Deep Hyperalignment
Muhammad Yousefnezhad · Daoqiang Zhang
Spotlight
Thu Dec 7th 12:05 -- 12:10 PM @ Hall C
Nonlinear random matrix theory for deep learning
Jeffrey Pennington · Pratik Worah
Spotlight
Thu Dec 7th 12:10 -- 12:15 PM @ Hall A
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
Artur Speiser · Jinyao Yan · Evan Archer · Lars Buesing · Srinivas C Turaga · Jakob H Macke
Spotlight
Thu Dec 7th 12:10 -- 12:15 PM @ Hall C
Spherical convolutions and their application in molecular modelling
Wouter Boomsma · Jes Frellsen
Spotlight
Thu Dec 7th 12:15 -- 12:20 PM @ Hall A
Tensor encoding and decomposition of brain connectomes with application to tractography evaluation
Cesar F Caiafa · Olaf Sporns · Andrew Saykin · Franco Pestilli
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Thu Dec 7th 12:15 -- 12:20 PM @ Hall C
Translation Synchronization via Truncated Least Squares
Xiangru Huang · Zhenxiao Liang · Chandrajit Bajaj · Qixing Huang
Spotlight
Thu Dec 7th 12:20 -- 12:25 PM @ Hall A
Targeting EEG/LFP Synchrony with Neural Nets
Yitong Li · michael Murias · samantha Major · geraldine Dawson · Kafui Dzirasa · Lawrence Carin · David E Carlson
Spotlight
Thu Dec 7th 12:20 -- 12:25 PM @ Hall C
Self-supervised Learning of Motion Capture
Hsiao-Yu Tung · Hsiao-Wei Tung · Ersin Yumer · Katerina Fragkiadaki
Spotlight
Thu Dec 7th 12:25 -- 12:30 PM @ Hall A
Deep Networks for Decoding Natural Images from Retinal Signals
Nikhil Parthasarathy · Eleanor Batty · William Falcon · Thomas Rutten · Mohit Rajpal · E.J. Chichilnisky · Liam Paninski
Spotlight
Thu Dec 7th 12:25 -- 12:30 PM @ Hall C
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Jinseok Nam · Eneldo Loza Mencía · Hyunwoo J Kim · Johannes Fürnkranz