Coordinate Descent with Arbitrary Sampling II: Expected Separable Overapproximation

27 December 2014

Papers citing "Coordinate Descent with Arbitrary Sampling II: Expected Separable Overapproximation"

13 / 13 papers shown

Title
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent Sara Venturini Andrea Cristofari Francesco Rinaldi Francesco Tudisco 39 2 0 28 Jan 2023
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity Artavazd Maranjyan M. Safaryan Peter Richtárik 39 13 0 28 Oct 2022
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 42 0 0 26 Aug 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton Michal Derezinski Feynman T. Liang Zhenyu A. Liao Michael W. Mahoney 34 23 0 18 Jun 2020
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling Mojmír Mutný Michal Derezinski Andreas Krause 38 21 0 25 Oct 2019
99% of Distributed Optimization is a Waste of Time: The Issue and How to Fix it Konstantin Mishchenko Filip Hanzely Peter Richtárik 16 13 0 27 Jan 2019
SAGA with Arbitrary Sampling Xun Qian Zheng Qu Peter Richtárik 37 25 0 24 Jan 2019
SEGA: Variance Reduction via Gradient Sketching Filip Hanzely Konstantin Mishchenko Peter Richtárik 25 71 0 09 Sep 2018
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods Nicolas Loizou Peter Richtárik 24 200 0 27 Dec 2017
A Primer on Coordinate Descent Algorithms Hao-Jun Michael Shi Shenyinying Tu Yangyang Xu W. Yin 40 90 0 30 Sep 2016
Importance Sampling for Minibatches Dominik Csiba Peter Richtárik 32 113 0 06 Feb 2016
Stochastic Dual Coordinate Ascent with Adaptive Probabilities Dominik Csiba Zheng Qu Peter Richtárik ODL 61 97 0 27 Feb 2015
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms Yu Wang Veeranjaneyulu Sadhanala Wei-Ming Dai Willie Neiswanger S. Sra Eric Xing 53 44 0 22 Sep 2014