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Poster
Tue 14:00 Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal
Poster
Tue 9:00 Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
Poster
Wed 14:00 Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Tiancheng Jin · Tal Lancewicki · Haipeng Luo · Yishay Mansour · Aviv Rosenberg
Poster
Thu 9:00 Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Georgios Piliouras · Ryann Sim · Stratis Skoulakis
Poster
Thu 14:00 Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
Adam Block · Max Simchowitz
Poster
Thu 14:00 A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
Chloé Rouyer · Dirk van der Hoeven · Nicolò Cesa-Bianchi · Yevgeny Seldin
Poster
Tue 14:00 Online Agnostic Multiclass Boosting
Vinod Raman · Ambuj Tewari
Poster
Wed 14:00 Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Asaf Benjamin Cassel · Alon Peled-Cohen · Tomer Koren
Poster
Tue 14:00 Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang · Hoang Tran · Ashok Cutkosky
Panel
Tue 9:15 Panel 1B-1: Online Minimax Multiobjective… & Minimax-Optimal Multi-Agent RL…
Gen Li · Georgy Noarov
Poster
Wed 9:00 Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness
Sarah Sachs · Hedi Hadiji · Tim van Erven · Cristóbal Guzmán
Poster
Tue 14:00 Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang · Ashok Cutkosky