Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum

11 November 2021

Papers citing "Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum"

9 / 9 papers shown

Title
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm J. Kim Nai-Hui Chia Anastasios Kyrillidis 13 0 0 19 Jun 2024
A Unified Theory of Stochastic Proximal Point Methods without Smoothness Peter Richtárik Abdurakhmon Sadiev Yury Demidovich 22 4 0 24 May 2024
Variance reduction techniques for stochastic proximal point algorithms Cheik Traoré Vassilis Apidopoulos Saverio Salzo S. Villa 12 4 0 18 Aug 2023
Adaptive Federated Learning with Auto-Tuned Clients J. Kim Taha Toghani César A. Uribe Anastasios Kyrillidis FedML 32 6 0 19 Jun 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani Sebastian Perez-Salazar César A. Uribe 14 2 0 20 May 2023
Faster federated optimization under second-order similarity Ahmed Khaled Chi Jin FedML 48 17 0 06 Sep 2022
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization Karan N. Chadha Gary Cheng John C. Duchi 46 15 0 07 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 97 1,150 0 04 Mar 2015