26 Results

Poster	Wed 14:00	Rate-Optimal Online Convex Optimization in Adaptive Linear Control Asaf Benjamin Cassel · Alon Peled-Cohen · Tomer Koren
Workshop		Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
Poster	Thu 14:00	Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li · Dimitri Meunier · Mattes Mollenhauer · Arthur Gretton
Poster	Tue 9:00	Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization Yuri Kinoshita · Taiji Suzuki
Workshop		A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective xinwei zhang · Nicola Elia · Mingyi Hong
Poster	Wed 14:00	On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow · Kaiyi Ji · Yingbin Liang
Panel	Tue 18:30	Panel 2C-7: Optimal Rates for… & Reconstruction on Trees… Frederic Koehler · Zhu Li
Poster	Wed 9:00	Beyond spectral gap: the role of the topology in decentralized learning Thijs Vogels · Hadrien Hendrikx · Martin Jaggi
Poster	Thu 14:00	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
Poster	Thu 9:00	Optimal Scaling for Locally Balanced Proposals in Discrete Spaces Haoran Sun · Hanjun Dai · Dale Schuurmans
Poster	Thu 14:00	Batch size-invariance for policy optimization Jacob Hilton · Karl Cobbe · John Schulman
Workshop		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