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1710.05080
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DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization
13 October 2017
Lin Xiao
Adams Wei Yu
Qihang Lin
Weizhu Chen
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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
L^q
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
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