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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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Workshop
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Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
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Poster
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Thu 14:00
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Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li · Dimitri Meunier · Mattes Mollenhauer · Arthur Gretton
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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 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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Poster
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Tue 9:00
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Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization
Yuri Kinoshita · Taiji Suzuki
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Panel
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Tue 18:30
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Panel 2C-7: Optimal Rates for… & Reconstruction on Trees…
Frederic Koehler · Zhu Li
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Poster
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Wed 9:00
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Beyond spectral gap: the role of the topology in decentralized learning
Thijs Vogels · Hadrien Hendrikx · Martin Jaggi
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Poster
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Thu 14:00
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No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
Yu-Guan Hsieh · Kimon Antonakopoulos · Volkan Cevher · Panayotis Mertikopoulos
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Poster
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Thu 9:00
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Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
Haoran Sun · Hanjun Dai · Dale Schuurmans
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Poster
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Thu 14:00
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Batch size-invariance for policy optimization
Jacob Hilton · Karl Cobbe · John Schulman
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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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