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Tutorial
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Mon 8:00 |
Submodular Optimization: From Discrete to Continuous and Back Hamed Hassani, Amin Karbasi |
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AffinityWorkshop
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Mon 8:05 |
Adversarial effects of intermediate latency in Active Learning on Data Streams Pedro Henrique Parreira |
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Poster
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Tue 7:00 |
Combinatorial Pure Exploration for Dueling Bandit Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao |
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Poster
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Tue 7:00 |
Confidence-Aware Learning for Deep Neural Networks Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang |
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Poster
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Tue 7:00 |
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits Nian Si, Fan Zhang, Zhengyuan Zhou, Jose Blanchet |
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Poster
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Tue 7:00 |
Online Learning for Active Cache Synchronization Andrey Kolobov, Sebastien Bubeck, Julian Zimmert |
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Poster
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Tue 7:00 |
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization Richard Zhang, Daniel Golovin |
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Poster
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Tue 7:00 |
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions Prashanth L.A., Krishna Jagannathan, Ravi Kolla |
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Poster
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Tue 8:00 |
Online Pricing with Offline Data: Phase Transition and Inverse Square Law Jinzhi Bu, David Simchi-Levi, Yunzong Xu |
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Poster
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Tue 9:00 |
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles Dylan Foster, Alexander Rakhlin |
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Poster
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Tue 9:00 |
Neural Contextual Bandits with UCB-based Exploration Dongruo Zhou, Lihong Li, Quanquan Gu |
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Poster
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Tue 10:00 |
Online Control of the False Coverage Rate and False Sign Rate Asaf Weinstein, Aaditya Ramdas |
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Poster
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Tue 10:00 |
A simpler approach to accelerated optimization: iterative averaging meets optimism Pooria Joulani, Anant Raj, András György, Csaba Szepesvari |
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Poster
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Tue 10:00 |
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel |
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Poster
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Tue 11:00 |
Near-linear time Gaussian process optimization with adaptive batching and resparsification Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco |
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Poster
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Tue 11:00 |
Bandits with Adversarial Scaling Thodoris Lykouris, Vahab Mirrokni, Renato Leme |
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Poster
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Tue 12:00 |
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay REDA ALAMI, Odalric-Ambrym Maillard, Raphaël Féraud |
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Poster
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Tue 12:00 |
Ready Policy One: World Building Through Active Learning Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts |
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Poster
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Tue 13:00 |
Non-Stationary Delayed Bandits with Intermediate Observations Claire Vernade, András György, King Tim Mann |
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Poster
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Tue 13:00 |
Adaptive Sampling for Estimating Probability Distributions Shubhanshu Shekhar, Tara Javidi, Mohammad Ghavamzadeh |
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Poster
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Tue 13:00 |
Online Convex Optimization in the Random Order Model Dan Garber, Gal Korcia, Kfir Levy |
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Poster
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Tue 15:00 |
Thompson Sampling Algorithms for Mean-Variance Bandits Qiuyu Zhu, Vincent Tan |
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Poster
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Wed 5:00 |
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting Zixin Zhong, Wang Chi Cheung, Vincent Tan |
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Poster
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Wed 8:00 |
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis Vidyashankar Sivakumar, Steven Wu, Arindam Banerjee |
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Poster
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Wed 8:00 |
Robust Outlier Arm Identification Yinglun Zhu, Sumeet Katariya, Robert Nowak |
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Poster
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Wed 8:00 |
Online mirror descent and dual averaging: keeping pace in the dynamic case Huang Fang, Nick Harvey, Victor Sanches Portella, Michael Friedlander |
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Poster
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Wed 8:00 |
On conditional versus marginal bias in multi-armed bandits Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo |
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Poster
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Wed 8:00 |
Private Outsourced Bayesian Optimization Dmitrii Kharkovskii, Zhongxiang Dai, Bryan Kian Hsiang Low |
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Poster
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Wed 8:00 |
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits Xi Liu, Ping-Chun Hsieh, Yu Heng Hung, Anirban Bhattacharya, P. Kumar |
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Poster
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Wed 8:00 |
Structure Adaptive Algorithms for Stochastic Bandits Rémy Degenne, Han Shao, Wouter Koolen |
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Poster
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Wed 8:00 |
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu |
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Poster
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Wed 8:00 |
Budgeted Online Influence Maximization Pierre Perrault, Jen Healey, Zheng Wen, Michal Valko |
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Poster
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Wed 9:00 |
Dual Mirror Descent for Online Allocation Problems Santiago Balseiro, Haihao Lu, Vahab Mirrokni |
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Poster
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Wed 10:00 |
Small-GAN: Speeding up GAN Training using Core-Sets Samrath Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena |
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Poster
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Wed 10:00 |
Stochastic bandits with arm-dependent delays Anne Gael Manegueu, Claire Vernade, Alexandra Carpentier, Michal Valko |
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Poster
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Wed 10:00 |
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons Wenbo Ren, Jia Liu, Ness Shroff |
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Poster
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Wed 11:00 |
Gamification of Pure Exploration for Linear Bandits Rémy Degenne, Pierre Menard, Xuedong Shang, Michal Valko |
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Poster
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Wed 12:00 |
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits Ilai Bistritz, Tavor Z Baharav, Amir Leshem, Nicholas Bambos |
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Poster
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Wed 13:00 |
Scalable and Efficient Comparison-based Search without Features Daniyar Chumbalov, Lucas Maystre, Matt Grossglauser |
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Poster
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Thu 6:00 |
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards Aadirupa Saha, Pierre Gaillard, Michal Valko |
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Poster
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Thu 6:00 |
Learning the Valuations of a $k$-demand Agent Hanrui Zhang, Vincent Conitzer |
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Poster
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Thu 6:00 |
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates |
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Poster
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Thu 6:00 |
Adaptive Region-Based Active Learning Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang |
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Poster
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Thu 6:00 |
BINOCULARS for efficient, nonmyopic sequential experimental design Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett |
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Poster
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Thu 6:00 |
Bandits for BMO Functions Tianyu Wang, Cynthia Rudin |
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Poster
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Thu 6:00 |
Online Learning with Dependent Stochastic Feedback Graphs Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang |
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Poster
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Thu 6:00 |
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance Blair Bilodeau, Dylan Foster, Daniel Roy |
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Poster
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Thu 7:00 |
Doubly robust off-policy evaluation with shrinkage Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miro Dudik |
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Poster
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Thu 7:00 |
Online Learning with Imperfect Hints Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit |
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Poster
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Thu 7:00 |
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Zhongxiang Dai, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet , Teck-Hua Ho |
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Poster
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Thu 7:00 |
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment Feng Zhu, Zeyu Zheng |
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Poster
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Thu 8:00 |
Cost-Effective Interactive Attention Learning with Neural Attention Processes Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang |
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Poster
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Thu 8:00 |
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning Ashok Cutkosky |
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Poster
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Thu 9:00 |
Improved Optimistic Algorithms for Logistic Bandits Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq |
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Poster
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Thu 9:00 |
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model Aadirupa Saha, Aditya Gopalan |
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Poster
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Thu 12:00 |
On Thompson Sampling with Langevin Algorithms Eric Mazumdar, Aldo Pacchiano, Yian Ma, Michael Jordan, Peter Bartlett |
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Poster
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Thu 12:00 |
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer Anton Zhiyanov, Alexey Drutsa |
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Poster
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Thu 12:00 |
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains Johannes Fischer, Sahin Tas |
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Poster
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Thu 12:00 |
Near-optimal Regret Bounds for Stochastic Shortest Path Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan |
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Poster
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Thu 13:00 |
Preselection Bandits Viktor Bengs, Eyke Hüllermeier |
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Poster
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Thu 13:00 |
Teaching with Limited Information on the Learner's Behaviour Ferdinando Cicalese, Francisco S de Freitas Filho, Eduardo Laber, Marco Molinaro |
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Poster
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Thu 14:00 |
Linear bandits with Stochastic Delayed Feedback Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brueckner |
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Poster
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Thu 17:00 |
Multinomial Logit Bandit with Low Switching Cost Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou |
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Poster
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Thu 17:00 |
Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity Yuanyu Wan, Wei-Wei Tu, Lijun Zhang |
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Workshop
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Fri 9:00 |
Poster Session (click to see links) |
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Workshop
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Sat 3:00 |
Inductive Biases, Invariances and Generalization in Reinforcement Learning Anirudh Goyal, Rosemary Nan Ke, Jane Wang, Theo Weber, Fabio Viola, Bernhard Schölkopf, Stefan Bauer |
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Workshop
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Sat 7:00 |
Real World Experiment Design and Active Learning Ilija Bogunovic, Willie Neiswanger, Yisong Yue |
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Workshop
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Sat 7:10 |
Scaling DPP MAP Inference Jennifer Gillenwater |
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Workshop
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Sat 7:45 |
Negative Dependence and Sampling Stefanie Jegelka |
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Workshop
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Sat 8:45 |
"Active Learning of Robot Reward Functions" Dorsa Sadigh |
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Workshop
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Sat 9:30 |
"Active Learning through Physically-embodied, Synthesized-from-“scratch” Queries" Anca Dragan |
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Workshop
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Sat 10:45 |
Technical Talks Session 2 Jinhyun So, Chong Liu, Honglin Yuan, Krishna Pillutla, Leighton P Barnes, Ashkan Yousefpour, Swanand Kadhe |
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Workshop
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Sat 11:00 |
2nd ICML Workshop on Human in the Loop Learning (HILL) Shanghang Zhang, Xin Wang, Fisher Yu, Jiajun Wu, Prof. Darrell |
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Workshop
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Sat 11:30 |
Deep Active Learning Toward Crisis-related Tweets Classification Shiva Ebrahimi |
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Workshop
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Sat 14:05 |
"Safe and Efficient Active Learning Strategies for Robotics Applications" Angela Schoellig |
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Workshop
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(#96 / Sess. 1) Active Learning on Graphs via Meta Learning Kaushalya Madhawa |