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1607.02793
Cited By

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods
for Strongly Convex Minimization

v1v2v3 (latest)

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization

International Conference on Artificial Intelligence and Statistics (AISTATS), 2016

10 July 2016

ArXiv (abs)PDF HTML

Papers citing "On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization"

3 / 3 papers shown

Privacy-Preserving Asynchronous Federated Learning Algorithms for
Multi-Party Vertically Collaborative Learning

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning

Heng-Chiao Huang

347

31

0

14 Aug 2020

Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections,
Insights, and Extensions

Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions

Robert Tibshirani

299

46

0

12 May 2017

Pathwise Coordinate Optimization for Sparse Learning: Algorithm and
Theory

Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory

Tong Zhang

756

46

0

23 Dec 2014

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