DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for
Asynchronous Distributed Optimization

DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization

13 October 2017

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Papers citing "DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization"

19 / 19 papers shown

Title
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach Colin Dirren Mattia Bianchi Panagiotis D. Grontas John Lygeros Florian Dorfler 149 0 0 18 Oct 2024
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization Marina Costantini N. Liakopoulos P. Mertikopoulos T. Spyropoulos 58 1 0 15 Jul 2022
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling D. Kovalev Alexander Gasnikov Peter Richtárik 137 33 0 30 Dec 2021
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization Kaiwen Zhou Anthony Man-Cho So James Cheng 70 1 0 30 Sep 2021
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method Bugra Can Saeed Soori M. Dehnavi Mert Gurbuzbalaban 72 2 0 20 Aug 2021
Stability and Generalization for Randomized Coordinate Descent Puyu Wang Liang Wu Yunwen Lei 58 7 0 17 Aug 2021
Dual-Free Stochastic Decentralized Optimization with Variance Reduction Hadrien Hendrikx Francis R. Bach Laurent Massoulié 52 26 0 25 Jun 2020
An Optimal Algorithm for Decentralized Finite Sum Optimization Hadrien Hendrikx Francis R. Bach Laurent Massoulie 66 45 0 20 May 2020
Differential Network Analysis: A Statistical Perspective Ali Shojaie 91 49 0 09 Mar 2020
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization Hadrien Hendrikx Lin Xiao Sébastien Bubeck Francis R. Bach Laurent Massoulie 68 58 0 25 Feb 2020
Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds Rong Ge Holden Lee Jianfeng Lu 78 22 0 08 Nov 2019
A Stochastic Proximal Point Algorithm for Saddle-Point Problems Luo Luo Cheng Chen Yujun Li Guangzeng Xie Zhihua Zhang 142 16 0 13 Sep 2019
Minimum $L^q$ -distance estimators for non-normalized parametric models Steffen Betsch B. Ebner B. Klar 52 9 0 30 Aug 2019
On the Variance of the Adaptive Learning Rate and Beyond Liyuan Liu Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Jiawei Han ODL 322 1,916 0 08 Aug 2019
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Xiao-Tong Yuan Ping Li 133 32 0 06 Aug 2019
Neural ODEs as the Deep Limit of ResNets with constant weights B. Avelin K. Nystrom ODL 141 32 0 28 Jun 2019
Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums Hadrien Hendrikx Francis R. Bach Laurent Massoulié FedML 67 26 0 28 Jan 2019
Harnessing the Power of Serverless Runtimes for Large-Scale Optimization Arda Aytekin M. Johansson 47 14 0 10 Jan 2019
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity S. Du Wei Hu 139 122 0 05 Feb 2018