A unified variance-reduced accelerated gradient method for convex optimization

29 May 2019

Papers citing "A unified variance-reduced accelerated gradient method for convex optimization"

16 / 16 papers shown

Title
Correlated Quantization for Faster Nonconvex Distributed Optimization Andrei Panferov Yury Demidovich Ahmad Rammal Peter Richtárik MQ 47 4 0 10 Jan 2024
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise Zijian Liu Jiawei Zhang Zhengyuan Zhou 39 12 0 14 Feb 2023
Near-Optimal Non-Convex Stochastic Optimization under Generalized Smoothness Zijian Liu Srikanth Jagabathula Zhengyuan Zhou 29 5 0 13 Feb 2023
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization Ali Kavis Stratis Skoulakis Kimon Antonakopoulos L. Dadi V. Cevher 29 15 0 03 Nov 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization Y. Carmon A. Jambulapati Yujia Jin Aaron Sidford 65 11 0 17 Jun 2022
Distributionally Robust Optimization via Ball Oracle Acceleration Y. Carmon Danielle Hausler 23 12 0 24 Mar 2022
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization Kaiwen Zhou Anthony Man-Cho So James Cheng 29 1 0 30 Sep 2021
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization Xiyuan Wei Bin Gu Heng-Chiao Huang 34 1 0 18 Sep 2021
ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method Zhize Li 48 14 0 21 Mar 2021
SVRG Meets AdaGrad: Painless Variance Reduction Benjamin Dubois-Taine Sharan Vaswani Reza Babanezhad Mark Schmidt Simon Lacoste-Julien 23 18 0 18 Feb 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization Zhize Li Hongyan Bao Xiangliang Zhang Peter Richtárik ODL 33 126 0 25 Aug 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization Chaobing Song Yong Jiang Yi Ma 53 23 0 18 Jun 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li D. Kovalev Xun Qian Peter Richtárik FedML AI4CE 29 135 0 26 Feb 2020
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization Samuel Horváth Lihua Lei Peter Richtárik Michael I. Jordan 57 30 0 13 Feb 2020
On the Adaptivity of Stochastic Gradient-Based Optimization Lihua Lei Michael I. Jordan ODL 21 22 0 09 Apr 2019
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014