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Primal-Dual Rates and Certificates
v1v2 (latest)

Primal-Dual Rates and Certificates

16 February 2016
Celestine Mendler-Dünner
Simone Forte
Martin Takáč
Martin Jaggi
ArXiv (abs)PDFHTML

Papers citing "Primal-Dual Rates and Certificates"

14 / 14 papers shown
Title
On Distributed Exact Sparse Linear Regression over Networks
On Distributed Exact Sparse Linear Regression over Networks
Tu Anh-Nguyen
César A. Uribe
38
0
0
01 Apr 2022
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
Nikolas Ioannou
Celestine Mendler-Dünner
Thomas Parnell
107
3
0
18 Nov 2019
Convergence Analysis of Block Coordinate Algorithms with Determinantal
  Sampling
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling
Mojmír Mutný
Michal Derezinski
Andreas Krause
116
21
0
25 Oct 2019
Dual Extrapolation for Sparse Generalized Linear Models
Dual Extrapolation for Sparse Generalized Linear Models
Mathurin Massias
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
395
18
0
12 Jul 2019
A Dual Approach for Optimal Algorithms in Distributed Optimization over
  Networks
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
César A. Uribe
Soomin Lee
Alexander Gasnikov
A. Nedić
75
137
0
03 Sep 2018
COLA: Decentralized Linear Learning
COLA: Decentralized Linear Learning
Lie He
An Bian
Martin Jaggi
95
121
0
13 Aug 2018
An Accelerated Communication-Efficient Primal-Dual Optimization
  Framework for Structured Machine Learning
An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning
Chenxin Ma
Martin Jaggi
Frank E. Curtis
Nathan Srebro
Martin Takáč
27
9
0
14 Nov 2017
Stochastic, Distributed and Federated Optimization for Machine Learning
Stochastic, Distributed and Federated Optimization for Machine Learning
Jakub Konecný
FedML
70
38
0
04 Jul 2017
Faster Coordinate Descent via Adaptive Importance Sampling
Faster Coordinate Descent via Adaptive Importance Sampling
Dmytro Perekrestenko
Volkan Cevher
Martin Jaggi
85
42
0
07 Mar 2017
Linear convergence of SDCA in statistical estimation
Linear convergence of SDCA in statistical estimation
Chao Qu
Huan Xu
75
8
0
26 Jan 2017
Understanding and Optimizing the Performance of Distributed Machine
  Learning Applications on Apache Spark
Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark
Celestine Mendler-Dünner
Thomas Parnell
Kubilay Atasu
Manolis Sifalakis
H. Pozidis
122
17
0
05 Dec 2016
CoCoA: A General Framework for Communication-Efficient Distributed
  Optimization
CoCoA: A General Framework for Communication-Efficient Distributed Optimization
Virginia Smith
Simone Forte
Chenxin Ma
Martin Takáč
Michael I. Jordan
Martin Jaggi
103
273
0
07 Nov 2016
Distributed Optimization with Arbitrary Local Solvers
Distributed Optimization with Arbitrary Local Solvers
Chenxin Ma
Jakub Konecný
Martin Jaggi
Virginia Smith
Michael I. Jordan
Peter Richtárik
Martin Takáč
128
197
0
13 Dec 2015
L1-Regularized Distributed Optimization: A Communication-Efficient
  Primal-Dual Framework
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
Virginia Smith
Simone Forte
Michael I. Jordan
Martin Jaggi
165
28
0
13 Dec 2015
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