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Poster
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Wed 14:00
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Optimal Weak to Strong Learning
Kasper Green Larsen · Martin Ritzert
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Workshop
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On the Complexity of Finding Small Subgradients in Nonsmooth Optimization
Guy Kornowski · Ohad Shamir
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Workshop
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On the Complexity of Finding Small Subgradients in Nonsmooth Optimization
Guy Kornowski · Ohad Shamir
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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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Workshop
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Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang · Kun Yuan
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Poster
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Tue 14:00
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Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser · Steve Hanneke · Nati Srebro
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Poster
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Wed 14:00
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Optimal Query Complexities for Dynamic Trace Estimation
David Woodruff · Fred Zhang · Richard Zhang
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Poster
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Tue 14:00
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Learning from a Sample in Online Algorithms
C.J. Argue · Alan Frieze · Anupam Gupta · Christopher Seiler
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Poster
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Thu 9:00
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Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
Kun Yuan · Xinmeng Huang · Yiming Chen · Xiaohan Zhang · Yingya Zhang · Pan Pan
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Poster
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Thu 14:00
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Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
Yibo Zeng · Henry Lam
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Poster
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Wed 9:00
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Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
Xinmeng Huang · Yiming Chen · Wotao Yin · Kun Yuan
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Poster
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Wed 14:00
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On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow · Kaiyi Ji · Yingbin Liang
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