Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters

5 February 2016

Papers citing "Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters"

13 / 13 papers shown

Title
Ordering for Non-Replacement SGD Yuetong Xu Baharan Mirzasoleiman 23 0 0 28 Jun 2023
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning Divyansh Jhunjhunwala Pranay Sharma Aushim Nagarkatti Gauri Joshi FedML 52 42 0 28 Jul 2022
Adaptive Second Order Coresets for Data-efficient Machine Learning Omead Brandon Pooladzandi David Davini Baharan Mirzasoleiman 22 62 0 28 Jul 2022
Approximate Inference via Clustering Qianqian Song 38 0 0 28 Nov 2021
Coresets for Data-efficient Training of Machine Learning Models Baharan Mirzasoleiman J. Bilmes J. Leskovec 12 7 0 05 Jun 2019
The Lingering of Gradients: Theory and Applications Zeyuan Allen-Zhu D. Simchi-Levi Xinshang Wang 21 4 0 09 Jan 2019
Accelerating Stochastic Gradient Descent Using Antithetic Sampling Jingchang Liu Linli Xu 19 2 0 07 Oct 2018
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 29 38 0 04 Jul 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 71 1,877 0 08 Oct 2016
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure A. Bietti Julien Mairal 47 36 0 04 Oct 2016
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling Zeyuan Allen-Zhu Zheng Qu Peter Richtárik Yang Yuan 44 172 0 30 Dec 2015
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 79 317 0 18 Feb 2014