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Poster
Thu 16:30 A Regression Approach to Learning-Augmented Online Algorithms
Keerti Anand · Rong Ge · Amit Kumar · Debmalya Panigrahi
Workshop
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Yi Zhao · Rinu Boney · Alexander Ilin · Juho Kannala · Joni Pajarinen
Workshop
Efficient Competitions and Online Learning with Strategic Forecasters
Anish Thilagar · Rafael Frongillo · Bo Waggoner · Robert Gomez
Poster
Tue 8:30 Decentralized Learning in Online Queuing Systems
Flore Sentenac · Etienne Boursier · Vianney Perchet
Poster
Thu 8:30 Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs · Emmanuel Candes
Spotlight
A Unified Approach to Fair Online Learning via Blackwell Approachability
Evgenii Chzhen · Christophe Giraud · Gilles Stoltz
Workshop
Tue 10:45 Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations
Spotlight
Decentralized Learning in Online Queuing Systems
Flore Sentenac · Etienne Boursier · Vianney Perchet
Oral
Fri 16:40 Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs · Emmanuel Candes
Workshop
Efficient Competitions and Online Learning with Strategic Forecasters
Anish Thilagar · Rafael Frongillo · Bo Waggoner · Robert Gomez
Workshop
Mon 11:30 Spotlight 3: Efficient Competitions and Online Learning with Strategic Forecasters
Anish Thilagar · Rafael Frongillo · Bo Waggoner · Robert Gomez
Poster
Thu 0:30 Asynchronous Decentralized Online Learning
Jiyan Jiang · Wenpeng Zhang · Jinjie GU · Wenwu Zhu