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Poster
Thu 14:00 Generalized Inverse Optimization through Online Learning
Chaosheng Dong · Yiran Chen · Bo Zeng
Poster
Thu 14:00 Optimistic optimization of a Brownian
Jean-Bastien Grill · Michal Valko · Remi Munos
Poster
Wed 14:00 Online Learning with an Unknown Fairness Metric
Stephen Gillen · Christopher Jung · Michael Kearns · Aaron Roth
Poster
Thu 14:00 Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
Shinji Ito · Daisuke Hatano · Hanna Sumita · Akihiro Yabe · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi
Poster
Thu 14:00 Approximating Real-Time Recurrent Learning with Random Kronecker Factors
Asier Mujika · Florian Meier · Angelika Steger
Poster
Wed 7:45 Learning Safe Policies with Expert Guidance
Jessie Huang · Fa Wu · Doina Precup · Yang Cai
Poster
Thu 7:45 Horizon-Independent Minimax Linear Regression
Alan Malek · Peter Bartlett
Poster
Thu 14:00 Multi-armed Bandits with Compensation
Siwei Wang · Longbo Huang
Poster
Thu 14:00 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning
Yonathan Efroni · Gal Dalal · Bruno Scherrer · Shie Mannor
Poster
Wed 7:45 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean · Horia Mania · Nikolai Matni · Benjamin Recht · Stephen Tu
Poster
Wed 7:45 A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Sampath Kannan · Jamie Morgenstern · Aaron Roth · Bo Waggoner · Zhiwei Steven Wu
Poster
Wed 7:45 On preserving non-discrimination when combining expert advice
Avrim Blum · Suriya Gunasekar · Thodoris Lykouris · Nati Srebro