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Poster
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Thu 14:00
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Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
Adam Block · Max Simchowitz
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Workshop
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Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses & Extension to Non-Convex Losses
Andrew Lowy · Meisam Razaviyayn
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Poster
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Thu 14:00
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On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan · Ping Li
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Poster
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Optimality and Stability in Non-Convex Smooth Games
Guojun Zhang · Pascal Poupart · Yaoliang Yu
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Poster
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Tue 14:00
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Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal
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Poster
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Wed 14:00
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Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Tiancheng Jin · Tal Lancewicki · Haipeng Luo · Yishay Mansour · Aviv Rosenberg
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Poster
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Tue 9:00
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Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
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Poster
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Tue 14:00
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Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang · Hoang Tran · Ashok Cutkosky
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Poster
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Thu 9:00
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Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Georgios Piliouras · Ryann Sim · Stratis Skoulakis
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Poster
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Thu 14:00
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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
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Poster
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Tue 14:00
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Online Agnostic Multiclass Boosting
Vinod Raman · Ambuj Tewari
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Poster
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Wed 14:00
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Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Asaf Benjamin Cassel · Alon Peled-Cohen · Tomer Koren
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