A Universally Optimal Multistage Accelerated Stochastic Gradient Method

A Universally Optimal Multistage Accelerated Stochastic Gradient Method

23 January 2019

Mert Gurbuzbalaban

Asuman Ozdaglar

Papers citing "A Universally Optimal Multistage Accelerated Stochastic Gradient Method"

12 / 12 papers shown

Title
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective Xianliang Li Jun Luo Zhiwei Zheng Hanxiao Wang Li Luo Lingkun Wen Linlong Wu Sheng Xu 74 0 0 29 Nov 2024
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 52 14 0 25 May 2023
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent Lingjiong Zhu Mert Gurbuzbalaban Anant Raj Umut Simsekli 34 6 0 20 May 2023
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms Hesameddin Mohammadi Meisam Razaviyayn Mihailo R. Jovanović 39 7 0 24 Sep 2022
Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods Xing-ming Guo Bin Hu OffRL 30 3 0 14 Feb 2022
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent Sharan Vaswani Benjamin Dubois-Taine Reza Babanezhad 53 11 0 21 Oct 2021
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning Charlie Hou K. K. Thekumparampil Giulia Fanti Sewoong Oh FedML 39 14 0 16 Aug 2021
Differentially Private Accelerated Optimization Algorithms Nurdan Kuru cS. .Ilker Birbil Mert Gurbuzbalaban S. Yıldırım 30 23 0 05 Aug 2020
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks Alireza Fallah Mert Gurbuzbalaban Asuman Ozdaglar Umut Simsekli Lingjiong Zhu 34 28 0 19 Oct 2019
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares Rong Ge Sham Kakade Rahul Kidambi Praneeth Netrapalli 37 150 0 29 Apr 2019
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise A. Kulunchakov Julien Mairal 34 44 0 25 Jan 2019
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances Bugra Can Mert Gurbuzbalaban Lingjiong Zhu 21 45 0 22 Jan 2019