226   Show all »
226 Program Highlights »
Toggle Poster Visibility
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #1
Deep Reinforcement Learning from Human Preferences
Paul F Christiano · Jan Leike · Tom Brown · Miljan Martic · Shane Legg · Dario Amodei
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #2
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman · Yevgen Chebotar · Stefan Schaal · Gaurav Sukhatme · Joseph J Lim
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #3
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu · John Co-Reyes · Sergey Levine
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #4
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang · Pieter Abbeel · Davis Foote · Yan Duan · OpenAI Xi Chen · Rein Houthooft · Adam Stooke · Filip DeTurck
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #5
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony · Zheng Tian · David Barber
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #6
Natural value approximators: learning when to trust past estimates
Tom Schaul · Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #7
Active Exploration for Learning Symbolic Representations
Garrett Andersen · George Konidaris
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #8
State Aware Imitation Learning
Yannick Schroecker · Charles L Isbell
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #9
Successor Features for Transfer in Reinforcement Learning
Andre Barreto · Will Dabney · Remi Munos · Jonathan Hunt · Tom Schaul · David Silver · Hado van Hasselt
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #10
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum · Mohammad Norouzi · Kelvin Xu · Dale Schuurmans
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #11
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation
Zhaohan Guo · Philip S. Thomas · Emma Brunskill
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #12
Compatible Reward Inverse Reinforcement Learning
Alberto Maria Metelli · Matteo Pirotta · Marcello Restelli
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #13
Adaptive Batch Size for Safe Policy Gradients
Matteo Papini · Matteo Pirotta · Marcello Restelli
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #14
Regret Minimization in MDPs with Options without Prior Knowledge
Ronan Fruit · Matteo Pirotta · Alessandro Lazaric · Emma Brunskill
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #15
Is the Bellman residual a bad proxy?
Matthieu Geist · Bilal Piot · Olivier Pietquin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #16
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
Yi Ouyang · Mukul Gagrani · Ashutosh Nayyar · Rahul Jain
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #17
Online Reinforcement Learning in Stochastic Games
Chen-Yu Wei · Yi-Te Hong · Chi-Jen Lu
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #18
Reinforcement Learning under Model Mismatch
Aurko Roy · Huan Xu · Sebastian Pokutta
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #19
Zap Q-Learning
Adithya M Devraj · Sean Meyn
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #20
Ensemble Sampling
Xiuyuan Lu · Benjamin Van Roy
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #21
Action Centered Contextual Bandits
Kristjan Greenewald · Ambuj Tewari · Susan Murphy · Predag Klasnja
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #22
Conservative Contextual Linear Bandits
Abbas Kazerouni · Mohammad Ghavamzadeh · Yasin Abbasi · Benjamin Van Roy
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #23
Rotting Bandits
Nir Levine · Koby Crammer · Shie Mannor
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #24
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang · Chi Wang · Yifan Wang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #25
Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh · Urun Dogan · Clay Scott
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #26
Boltzmann Exploration Done Right
Nicolò Cesa-Bianchi · Claudio Gentile · Gergely Neu · Gabor Lugosi
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #27
Improving the Expected Improvement Algorithm
Chao Qin · Diego Klabjan · Daniel Russo
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #28
A KL-LUCB algorithm for Large-Scale Crowdsourcing
Ervin Tanczos · Robert Nowak · Bob Mankoff
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #29
Scalable Generalized Linear Bandits: Online Computation and Hashing
Kwang-Sung Jun · Aniruddha Bhargava · Robert Nowak · Rebecca Willett
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #30
Bandits Dueling on Partially Ordered Sets
Julien Audiffren · Liva Ralaivola
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #31
Position-based Multiple-play Multi-armed Bandit Problem with Unknown Position Bias
Junpei Komiyama · Junya Honda · Akiko Takeda
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #32
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback
Zheng Wen · Branislav Kveton · Michal Valko · Sharan Vaswani
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #33
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis
Tor Lattimore
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #34
Adaptive Active Hypothesis Testing under Limited Information
Fabio Cecchi · Nidhi Hegde
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #35
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
Sanjiban Choudhury · Shervin Javdani · Siddhartha Srinivasa · Sebastian Scherer
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #36
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Samuel Daulton · Taylor Killian · Finale Doshi-Velez · George Konidaris
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #37
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee · Jin-Hwa Kim · Jaehyun Jun · Jung-Woo Ha · Byoung-Tak Zhang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #38
Hypothesis Transfer Learning via Transformation Functions
Simon Du · Jayanth Koushik · Aarti Singh · Barnabas Poczos
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #39
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi · Hakan Bilen · Andrea Vedaldi
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #40
Self-supervised Learning of Motion Capture
Hsiao-Yu Tung · Hsiao-Wei Tung · Ersin Yumer · Katerina Fragkiadaki
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #41
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
Linus Hamilton · Frederic Koehler · Ankur Moitra
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #42
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Jinseok Nam · Eneldo Loza Mencía · Hyunwoo J Kim · Johannes Fürnkranz
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #43
Local Aggregative Games
Vikas Garg · Tommi Jaakkola
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #44
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
James McInerney
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #45
Learning Chordal Markov Networks via Branch and Bound
Kari Rantanen · Antti Hyttinen · Matti Järvisalo
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #46
Optimal Sample Complexity of M-wise Data for Top-K Ranking
Minje Jang · Sunghyun Kim · Changho Suh · Sewoong Oh
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #47
Translation Synchronization via Truncated Least Squares
Xiangru Huang · Zhenxiao Liang · Chandrajit Bajaj · Qixing Huang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #48
From Bayesian Sparsity to Gated Recurrent Nets
Hao He · Bo Xin · David Wipf
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #49
Online Learning for Multivariate Hawkes Processes
Yingxiang Yang · Jalal Etesami · Niao He · Negar Kiyavash
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #50
Efficient Second-Order Online Kernel Learning with Adaptive Embedding
Daniele Calandriello · Michal Valko · Alessandro Lazaric
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #51
Online to Offline Conversions and Adaptive Minibatch Sizes
Kfir Levy
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #52
Nonparametric Online Regression while Learning the Metric
Ilja Kuzborskij · Nicolò Cesa-Bianchi
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #53
Stochastic and Adversarial Online Learning without Hyperparameters
Ashok Cutkosky · Kwabena A Boahen
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #54
Affine-Invariant Online Optimization
Tomer Koren · Roi Livni
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #55
Online Convex Optimization with Stochastic Constraints
Hao Yu · Michael Neely · Xiaohan Wei
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #56
Online Learning with a Hint
Ofer Dekel · arthur flajolet · Nika Haghtalab · Patrick Jaillet
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #57
Efficient Online Linear Optimization with Approximation Algorithms
Dan Garber
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #58
Random Permutation Online Isotonic Regression
Wojciech Kotlowski · Wouter Koolen · Alan Malek
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #59
Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
Yasin Abbasi · Peter Bartlett · Victor Gabillon
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #60
Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions
M. Sevi Baltaoglu · Lang Tong · Qing Zhao
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #61
Online Prediction with Selfish Experts
Tim Roughgarden · Okke Schrijvers
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #62
Real-Time Bidding with Side Information
arthur flajolet · Patrick Jaillet
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #63
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
Qinshi Wang · Wei Chen
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #64
A General Framework for Robust Interactive Learning
Ehsan Emamjomeh-Zadeh · David Kempe
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #65
Practical Locally Private Heavy Hitters
kobbi nissim · Raef Bassily · Uri Stemmer · Abhradeep Guha Thakurta
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #66
Deanonymization in the Bitcoin P2P Network
Giulia Fanti · Pramod Viswanath
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #67
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
Steven Wu · Bo Waggoner · Seth Neel · Aaron Roth · Katrina Ligett
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #68
Renyi Differential Privacy Mechanisms for Posterior Sampling
Joseph Geumlek · Shuang Song · Kamalika Chaudhuri
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #69
Collecting Telemetry Data Privately
Bolin Ding · Janardhan Kulkarni · Sergey Yekhanin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #70
Generating steganographic images via adversarial training
Jamie Hayes · George Danezis
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #71
Fitting Low-Rank Tensors in Constant Time
Kohei Hayashi · Yuichi Yoshida
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #72
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
Christian Borgs · Jennifer Chayes · Christina Lee · Devavrat Shah
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #73
Fair Clustering Through Fairlets
Flavio Chierichetti · Ravi Kumar · Silvio Lattanzi · Sergei Vassilvitskii
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #74
On Fairness and Calibration
Geoff Pleiss · Manish Raghavan · Felix Wu · Jon Kleinberg · Kilian Weinberger
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #75
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus · Mateo Rojas Carulla · Giambattista Parascandolo · Moritz Hardt · Dominik Janzing · Bernhard Schölkopf
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #76
Optimized Pre-Processing for Discrimination Prevention
Flavio Calmon · Dennis Wei · Karthikeyan Natesan Ramamurthy · Bhanukiran Vinzamuri · Kush R Varshney
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #77
Recycling for Fairness: Learning with Conditional Distribution Matching Constraints
Novi Quadrianto · Viktoriia Sharmanska
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #78
From Parity to Preference: Learning with Cost-effective Notions of Fairness
Muhammad Bilal Zafar · Isabel Valera · Manuel Rodriguez · Krishna Gummadi · Adrian Weller
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #79
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao · Bert Huang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #80
Multi-view Matrix Factorization for Linear Dynamical System Estimation
Mahdi Karami · Martha White · Dale Schuurmans · Csaba Szepesvari
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #81
Random Projection Filter Bank for Time Series Data
Amir-massoud Farahmand · Sepideh Pourazarm · Daniel Nikovski
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #82
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
Hongteng Xu · Hongyuan Zha
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #83
Predicting User Activity Level In Point Process Models With Mass Transport Equation
Yichen Wang · Xiaojing Ye · Hongyuan Zha · Le Song
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #84
Off-policy evaluation for slate recommendation
Adith Swaminathan · Akshay Krishnamurthy · Alekh Agarwal · Miro Dudik · John Langford · Damien Jose · Imed Zitouni
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #85
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems
Wen Dong · Le Fang · Fan Yang · Tong Guan · Chunming Qiao
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #86
A multi-agent reinforcement learning model of common-pool resource appropriation
Julien Pérolat · Joel Leibo · Vinicius Zambaldi · Charles Beattie · Karl Tuyls · Thore Graepel
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #87
Balancing information exposure in social networks
Kiran Garimella · Aristides Gionis · Nikos Parotsidis · Nikolaj Tatti
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #88
Scalable Demand-Aware Recommendation
Jinfeng Yi · Cho-Jui Hsieh · Kush R Varshney · Lijun Zhang · Yao Li
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #89
A Greedy Approach for Budgeted Maximum Inner Product Search
Hsiang-Fu Yu · Cho-Jui Hsieh · Qi Lei · Inderjit S Dhillon
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #90
DPSCREEN: Dynamic Personalized Screening
Kartik Ahuja · William Zame · Mihaela van der Schaar
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #91
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
Ahmed M. Alaa · Mihaela van der Schaar
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #92
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang · Yihe Tang · Jian Wang · Jia Deng
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #93
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
John T Halloran · David M Rocke
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #94
Style Transfer from Non-parallel Text by Cross-Alignment
Tianxiao Shen · Tao Lei · Regina Barzilay · Tommi Jaakkola
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #95
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Serhii Havrylov · Ivan Titov
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #96
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
Yuandong Tian · Qucheng Gong · Wenling Shang · Yuxin Wu · C. Lawrence Zitnick
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #97
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah · Christopher Beckham · Tegan Maharaj · Mr. Prabhat · Chris Pal
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #98
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #99
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan · J. Zico Kolter
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #100
f-GANs in an Information Geometric Nutshell
Richard Nock · Zac Cranko · Aditya K Menon · Lizhen Qu · Robert C Williamson
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #101
The Numerics of GANs
Lars Mescheder · Sebastian Nowozin · Andreas Geiger
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #102
Generalizing GANs: A Turing Perspective
Roderich Gross · Yue Gu · Wei Li · Melvin Gauci
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #103
Dualing GANs
Yujia Li · Alexander Schwing · Kuan-Chieh Wang · Richard Zemel
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #104
Fisher GAN
Youssef Mroueh · Tom Sercu
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #105
Learning to Pivot with Adversarial Networks
Gilles Louppe · Michael Kagan · Kyle Cranmer
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #106
Improved Training of Wasserstein GANs
Ishaan Gulrajani · Faruk Ahmed · Martin Arjovsky · Vincent Dumoulin · Aaron C Courville
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #107
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li · Wei-Cheng Chang · Yu Cheng · Yiming Yang · Barnabas Poczos
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #108
Two Time-Scale Update Rule for Generative Adversarial Nets
Hubert Ramsauer · Martin Heusel · Sepp Hochreiter · Bernhard Nessler · Thomas Unterthiner
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #109
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava · Lazar Valkoz · Chris Russell · Michael U. Gutmann · Charles Sutton
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #110
Improved Semi-supervised Learning with GANs using Manifold Invariances
Abhishek Kumar · Prasanna Sattigeri · Tom Fletcher
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #111
Good Semi-supervised Learning That Requires a Bad GAN
Zihang Dai · Zhilin Yang · Fan Yang · William W Cohen · Ruslan Salakhutdinov
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #112
Bayesian GANs
Yunus Saatci · Andrew Wilson
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #113
Dual Discriminator Generative Adversarial Nets
Tu Nguyen · Trung Le · Hung Vu · Dinh Phung
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #114
Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li · Hao Liu · Ricardo Henao · Liqun Chen · Yuchen Pu · Changyou Chen · Lawrence Carin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #115
Triple Generative Adversarial Nets
Chongxuan LI · Kun Xu · Jun Zhu · Bo Zhang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #116
Triangle Generative Adversarial Networks
Zhe Gan · Liqun Chen · Weiyao Wang · Yuchen Pu · Yizhe Zhang · Lawrence Carin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #117
Structured Generative Adversarial Networks
Hao Zhang · Zhijie Deng · Xiaodan Liang · Jun Zhu · Eric P Xing
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #118
PixelGAN Autoencoders
Alireza Makhzani · Brendan J Frey
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #119
Learning to Compose Domain-Specific Transformations for Data Augmentation
Alexander Ratner · Henry Ehrenberg · Zeshan Hussain · Jared Dunnmon · Christopher Ré
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #120
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu · Thomas Breuel · Jan Kautz
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #121
Adversarial Invariant Feature Learning
Qizhe Xie · Zihang Dai · Yulun Du · Eduard Hovy · Graham Neubig
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #122
Adversarial Ranking for Language Generation
Dianqi Li · Kevin Lin · Xiaodong He · Ming-ting Sun · Zhengyou Zhang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #123
Efficient Computation of Moments in Sum-Product Networks
Han Zhao · Geoffrey Gordon
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #124
Attention is All you Need
Ashish Vaswani · Noam Shazeer · Niki Parmar · Llion Jones · Jakob Uszkoreit · Aidan N Gomez · Łukasz Kaiser
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #125
Masked Autoregressive Flow for Density Estimation
George Papamakarios · Iain Murray · Theo Pavlakou
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #126
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal ALIAS PARTH GOYAL · Nan Ke · Surya Ganguli · Yoshua Bengio
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #127
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Wei Wen · Cong Xu · Feng Yan · Chunpeng Wu · Yandan Wang · Yiran Chen · Hai Li
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #128
End-to-end Differentiable Proving
Tim Rocktäschel · Sebastian Riedel
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #129
A simple neural network module for relational reasoning
Adam Santoro · David Raposo · David Barrett · Mateusz Malinowski · Razvan Pascanu · Peter Battaglia · Tim Lillicrap
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #130
Dual Path Networks
Yunpeng Chen · Jianan Li · Huaxin Xiao · Xiaojie Jin · Shuicheng Yan · Jiashi Feng
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #131
Spherical convolutions and their application in molecular modelling
Wouter Boomsma · Jes Frellsen
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #132
Deep Sets
Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #133
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan · Alexander Pritzel · Charles Blundell
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #134
Self-Normalizing Neural Networks
Günter Klambauer · Thomas Unterthiner · Andreas Mayr · Sepp Hochreiter
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #135
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #136
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer · Itay Hubara · Daniel Soudry
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #137
Nonlinear random matrix theory for deep learning
Jeffrey Pennington · Pratik Worah
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #138
DisTraL: Robust multitask reinforcement learning
Yee Teh · Victor Bapst · Razvan Pascanu · Nicolas Heess · John Quan · James Kirkpatrick · Wojciech M. Czarnecki · Raia Hadsell
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #139
Imagination-Augmented Agents for Deep Reinforcement Learning
Sébastien Racanière · David Reichert · Theophane Weber · Oriol Vinyals · Daan Wierstra · Lars Buesing · Peter Battaglia · Razvan Pascanu · Yujia Li · Nicolas Heess · Arthur Guez · Danilo Jimenez Rezende · Adrià Puigdomènech Badia · David Silver
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #140
Second-order Optimization in Deep Reinforcement Learning using Kronecker-factored Approximation
Yuhuai Wu · Elman Mansimov · Roger Grosse · Shun Liao · Jimmy Ba
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #141
Learning Combinatorial Optimization Algorithms over Graphs
Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #142
Targeting EEG/LFP Synchrony with Neural Nets
Yitong Li · David E Carlson · Lawrence Carin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #143
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
Chengxu Zhuang · Jonas Kubilius · Mitra JZ Hartmann · Daniel Yamins
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #144
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
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #145
Scene Physics Acquisition via Visual De-animation
Jiajun Wu · Erika Lu · Pushmeet Kohli · Bill Freeman · Josh Tenenbaum
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #146
Shape and Material from Sound
zhoutong zhang · Qiujia Li · Zhengjia Huang · Jiajun Wu · Josh Tenenbaum · Bill Freeman
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #147
Deep Networks for Decoding Natural Images from Retinal Signals
Nikhil Parthasarathy · Eleanor Batty · William Falcon · Thomas Rutten · Mohit Rajpal · E.J. Chichilnisky · Liam Paninski
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #148
Quantifying how much sensory information in a neural code is relevant for behavior
Giuseppe Pica · Eugenio Piasini · Houman Safaai · Caroline Runyan · Christopher Harvey · Mathew Diamond · Christoph Kayser · Tommaso Fellin · Stefano Panzeri
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #149
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
Laurence Aitchison · Lloyd Russell · Adam Packer · Jinyao Yan · Philippe Castonguay · Michael Hausser · Srinivas C Turaga
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #150
Deep Hyperalignment
Muhammad Yousefnezhad · Daoqiang Zhang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #151
Tensor encoding and decomposition of brain connectomes with application to tractography evaluation
Cesar F Caiafa · Olaf Sporns · Andrew Saykin · Franco Pestilli
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #152
Online Dynamic Programming
Holakou Rahmanian · Manfred Warmuth
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #153
Unsupervised Learning of Disentangled Representations from Video
Emily Denton · vighnesh Birodkar
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #154
Interactive Submodular Bandit
Lin Chen · Andreas Krause · Amin Karbasi
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #155
Streaming Robust Submodular Maximization:A Partitioned Thresholding Approach
Slobodan Mitrovic · Ilija Bogunovic · Ashkan Norouzi-Fard · Jakub M Tarnawski · Volkan Cevher
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #156
Minimizing a Submodular Function from Samples
Eric Balkanski · Yaron Singer
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #157
Process-constrained batch Bayesian optimisation
Pratibha Vellanki · Santu Rana · Sunil Gupta · David Rubin · Alessandra Sutti · Thomas Dorin · Murray Height · Paul Sanders · Svetha Venkatesh
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #158
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C Wilson · Rebecca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #159
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #160
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
Omar El Housni · Vineet Goyal
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #161
Approximate Supermodularity Bounds for Experimental Design
Luiz Chamon · Alejandro Ribeiro
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #162
On Blackbox Backpropagation and Jacobian Sensing
Krzysztof M Choromanski · Vikas Sindhwani
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #163
Asynchronous Coordinate Descent under More Realistic Assumptions
Tao Sun · Robert Hannah · Wotao Yin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #164
Clustering with Noisy Queries
Arya Mazumdar · Barna Saha
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #165
Approximation Algorithms for $\ell_0$-Low Rank Approximation
Karl Bringmann · Pavel Kolev · David Woodruff
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #166
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Yuanzhi Li · Yang Yuan
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #167
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian · Ce Zhang · Huan Zhang · Cho-Jui Hsieh · Wei Zhang · Ji Liu
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #168
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
Mohammad Ali Bashiri · Xinhua Zhang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #169
Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus · Yifan Sun · Suhas Diggavi · Wotao Yin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #170
No More Fixed Penalty Parameter in ADMM: Faster Convergence with New Adaptive Penalization
Yi Xu · Mingrui Liu · Tianbao Yang · Qihang Lin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #171
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
Chaobing Song · Shaobo Cui · Shu-Tao Xia · Yong Jiang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #172
Safe Adaptive Importance Sampling
Sebastian Stich · Anant Raj · Martin Jaggi
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #173
Sharpness, Restart and Acceleration
Vincent Roulet · Alexandre d'Aspremont
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #174
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
Alberto Bietti · Julien Mairal
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #175
Min-Max Propagation
Christopher Srinivasa · Inmar Givoni · Siamak Ravanbakhsh · Brendan J Frey
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #176
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro · Simon Kamronn · Ulrich Paquet · Ole Winther
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #177
Concrete Dropout
Yarin Gal · Jiri Hron · Alex Kendall
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #178
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
George Tucker · Andriy Mnih · Chris J Maddison · John Lawson · Jascha Sohl-Dickstein
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #179
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran · Rajesh Ranganath · David Blei
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #180
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder · Yuhuai Wu · David Duvenaud
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #181
Perturbative Black Box Variational Inference
Cheng Zhang · Robert Bamler · Manfred Opper · Stephan Mandt
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #182
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
Jeffrey Regier · Michael Jordan · Jon McAuliffe
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #183
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
Rishit Sheth · Roni Khardon
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #184
Learning Causal Graphs with Latent Variables
Murat Kocaoglu · Karthikeyan Shanmugam · Elias Bareinboim
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #185
Permutation-based Causal Inference Algorithms with Interventions
Yuhao Wang · Liam Solus · Karren Yang · Caroline Uhler
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #186
Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami · Saber Salehkaleybar · Negar Kiyavash · Kun Zhang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #187
Counterfactual Fairness
Matt Kusner · Joshua Loftus · Chris Russell · Ricardo Silva
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #188
Causal Effect Inference with Deep Latent Variable Models
Christos Louizos · Uri Shalit · Joris M Mooij · David Sontag · Richard Zemel · Max Welling
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #189
Conic Scan Coverage algorithm for nonparametric topic modeling
Mikhail Yurochkin · Aritra Guha · XuanLong Nguyen
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #190
Tractability in Structured Probability Spaces
Arthur Choi · Yujia Shen · Adnan Darwiche
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #191
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
Jonathan Huggins · Ryan Adams · Tamara Broderick
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #192
Adaptive Bayesian Sampling with Monte Carlo EM
Anirban Roychowdhury · Srinivasan Parthasarathy
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #193
What-If Reasoning using Counterfactual Gaussian Processes
Peter Schulam · Suchi Saria
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #194
Multi-Information Source Optimization
Matthias Poloczek · Jialei Wang · Peter Frazier
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #195
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni · Marc Deisenroth
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #196
Convolutional Gaussian Processes
Mark van der Wilk · Carl Edward Rasmussen · James Hensman
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #197
Multiresolution Kernel Approximation for Gaussian Process Regression
Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #198
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann · Tor Lattimore · Emma Brunskill
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #199
Repeated Inverse Reinforcement Learning
Kareem Amin · Nan Jiang · Satinder Singh
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #200
Inverse Reward Design
Dylan Hadfield-Menell · Smitha Milli · Stuart J Russell · Pieter Abbeel · Anca Dragan
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #201
Utile Context Tree Weighting
Joao V Messias · Shimon Whiteson
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #202
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
Duc Thien Nguyen · Akshat Kumar · Hoong Chuin Lau
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #203
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot · Vinicius Zambaldi · Audrunas Gruslys · Angeliki Lazaridou · karl Tuyls · Julien Perolat · David Silver · Thore Graepel
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #204
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
El Mahdi El Mhamdi · Rachid Guerraoui · Hadrien Hendrikx · Alexandre Maurer
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #205
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe · YI WU · Aviv Tamar · Jean Harb · OpenAI Pieter Abbeel · Igor Mordatch
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #206
Spectrally-normalized margin bounds for neural networks
Matus Telgarsky · Peter Bartlett · Dylan J Foster
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #207
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
Anton Osokin · Francis Bach · Simon Lacoste-Julien
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #208
Collaborative PAC Learning
Avrim Blum · Nika Haghtalab · Ariel D Procaccia · IIIS Mingda Qiao
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #209
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
Noga Alon · Moshe Babaioff · Yannai A. Gonczarowski · Yishay Mansour · Shay Moran · Amir Yehudayoff
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #210
Discriminative State Space Models
Vitaly Kuznetsov · Mehryar Mohri
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #211
Delayed Mirror Descent in Continuous Games
Zhengyuan Zhou · Panayotis Mertikopoulos · Nicholas Bambos · Peter W Glynn · Claire Tomlin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #212
Variance-based Regularization with Convex Objectives
Hongseok Namkoong · John C Duchi
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #213
Learning Mixture of Gaussians with Streaming Data
Aditi Raghunathan · Prateek Jain · Ravishankar Krishnawamy
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #214
On the Consistency of Quick Shift
Heinrich Jiang
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #215
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Yuting Wei · Fanny Yang · Martin Wainwright
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #216
A Sharp Error Analysis for the Fused Lasso, with Implications to Broader Settings and Approximate Screening
Kevin Lin · James Sharpnack · Alessandro Rinaldo · Ryan Tibshirani
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #217
The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang · Yue Lu
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #218
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Ashkan Panahi · Babak Hassibi
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #219
Statistical Convergence Analysis of Gradient EM on General Gaussian Mixture Models
Bowei Yan · Mingzhang Yin · Purnamrita Sarkar
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #220
Online control of the false discovery rate with decaying memory
Aaditya Ramdas · Fanny Yang · Martin Wainwright · Michael Jordan
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #221
Learning with Bandit Feedback in Potential Games
Amélie Heliou · Johanne Cohen · Panayotis Mertikopoulos
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #222
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Roel Dobbe · David Fridovich-Keil · Claire Tomlin
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #223
Revenue Optimization with Approximate Bid Predictions
Andres Munoz · Sergei Vassilvitskii
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #224
A Decomposition of Forecast Error in Prediction Markets
Miro Dudik · Sebastien Lahaie · Ryan M Rogers · Jennifer Wortman Vaughan
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #225
Dynamic Revenue Sharing
Santiago Balseiro · Max Lin · Vahab Mirrokni · Renato Leme · IIIS Song Zuo
Poster
Wed Dec 6th 06:30 -- 10:30 PM @ Pacific Ballroom #226
Multi-View Decision Processes
Christos Dimitrakakis · David Parkes · Goran Radanovic · Paul Tylkin