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Poster
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Wed 14:00
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An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem
Arpit Agarwal · Rohan Ghuge · viswanath nagarajan
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Workshop
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The curse of (non)convexity: The case of an Optimization-Inspired Data Pruning algorithm
Fadhel Ayed · Soufiane Hayou
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Poster
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Tue 9:00
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Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang · Kiran Thekumparampil · Sewoong Oh · Niao He
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Workshop
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Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Xingyu Xie · Pan Zhou · Huan Li · Zhouchen Lin · Shuicheng Yan
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Poster
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Wed 14:00
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When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint
Yoav S Freund · Yi-An Ma · Tong Zhang
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Poster
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Wed 14:00
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Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions
Shinsaku Sakaue · Taihei Oki
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Poster
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Tue 14:00
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The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
Dmitry Kovalev · Alexander Gasnikov
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Poster
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Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
Lesi Chen · Boyuan Yao · Luo Luo
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Workshop
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A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
xinwei zhang · Nicola Elia · Mingyi Hong
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Poster
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Wed 9:00
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Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model
Billy Jin · Will Ma
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Poster
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Tue 14:00
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Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Jiafan He · Dongruo Zhou · Tong Zhang · Quanquan Gu
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Poster
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Tue 14:00
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Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Dmitry Kovalev · Aleksandr Beznosikov · Abdurakhmon Sadiev · Michael Persiianov · Peter Richtarik · Alexander Gasnikov
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