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Poster
Thu 17:00 Online Forecasting of Total-Variation-bounded Sequences
Dheeraj Baby · Yu-Xiang Wang
Workshop
Sat 11:40 Learning Fair Classifiers in Online Stochastic Setting
Yi Sun
Poster
Tue 10:45 Combinatorial Bandits with Relative Feedback
Aadirupa Saha · Aditya Gopalan
Poster
Tue 17:30 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
Young H Jung · Ambuj Tewari
Spotlight
Thu 16:40 Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen · Elad Hazan · Shay Moran
Poster
Wed 17:00 From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization
Krzysztof M Choromanski · Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Vikas Sindhwani
Poster
Thu 17:00 Equal Opportunity in Online Classification with Partial Feedback
Yahav Bechavod · Katrina Ligett · Aaron Roth · Bo Waggoner · Steven Wu
Poster
Thu 17:00 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function
Aviv Rosenberg · Yishay Mansour
Poster
Tue 17:30 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback
Ilai Bistritz · Zhengyuan Zhou · Xi Chen · Nicholas Bambos · Jose Blanchet
Poster
Wed 17:00 Learning in Generalized Linear Contextual Bandits with Stochastic Delays
Zhengyuan Zhou · Renyuan Xu · Jose Blanchet
Poster
Wed 17:00 Optimal Stochastic and Online Learning with Individual Iterates
Yunwen Lei · Peng Yang · Ke Tang · Ding-Xuan Zhou
Poster
Wed 17:00 Large Scale Markov Decision Processes with Changing Rewards
Adrian Rivera Cardoso · He Wang · Huan Xu