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On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems

On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems

Mingxi Zhu
Krešimir Mihić
Yinyu Ye
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Papers citing "On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems"

5 / 5 papers shown
Title
FALKON: An Optimal Large Scale Kernel Method
FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi
Luigi Carratino
Lorenzo Rosasco
49
196
0
31 May 2017
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor
R. Burmeister
Zheng Xu
Bharat Singh
Ankit B. Patel
Tom Goldstein
ODL
45
275
0
06 May 2016
Node-Based Learning of Multiple Gaussian Graphical Models
Node-Based Learning of Multiple Gaussian Graphical Models
Karthika Mohan
Palma London
Maryam Fazel
Daniela Witten
Su-In Lee
59
207
0
21 Mar 2013
On the Linear Convergence of the Alternating Direction Method of Multipliers
On the Linear Convergence of the Alternating Direction Method of Multipliers
Mingyi Hong
Zhi-Quan Luo
75
721
0
20 Aug 2012
Pathwise coordinate optimization
Pathwise coordinate optimization
J. Friedman
Trevor Hastie
Holger Hofling
Robert Tibshirani
229
2,053
0
10 Aug 2007

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