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167 Results

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Poster
Thu 14:00 Optimal Comparator Adaptive Online Learning with Switching Cost
Zhiyu Zhang · Ashok Cutkosky · Yannis Paschalidis
Poster
Tue 14:00 Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang · Ashok Cutkosky
Poster
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye · Adrian G. Bors
Poster
Thu 9:00 Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
QIN DING · Yue Kang · Yi-Wei Liu · Thomas Chun Man Lee · Cho-Jui Hsieh · James Sharpnack
Poster
Tue 14:00 Finite Sample Analysis Of Dynamic Regression Parameter Learning
Mark Kozdoba · Edward Moroshko · Shie Mannor · Yacov Crammer
Poster
Tue 14:00 Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang · Hoang Tran · Ashok Cutkosky
Workshop
Uncertainty-Driven Pessimistic Q-Ensemble for Offline-to-Online Reinforcement Learning
Ingook Jang · Seonghyun Kim
Poster
Thu 9:00 Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Zhenyu Zhu · Fanghui Liu · Grigorios Chrysos · Volkan Cevher
Poster
Thu 14:00 Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Bowen Baker · Ilge Akkaya · Peter Zhokov · Joost Huizinga · Jie Tang · Adrien Ecoffet · Brandon Houghton · Raul Sampedro · Jeff Clune
Poster
Wed 14:00 An α-regret analysis of Adversarial Bilateral Trade
Yossi Azar · Amos Fiat · Federico Fusco
Poster
Trading Off Resource Budgets For Improved Regret Bounds
Thomas Orton · Damon Falck
Poster
Tue 14:00 Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal