Large-scale randomized-coordinate descent methods with non-separable linear constraints

9 September 2014

Papers citing "Large-scale randomized-coordinate descent methods with non-separable linear constraints"

5 / 5 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
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization Sudeep Salgia Qing Zhao Sattar Vakili 48 2 0 11 Mar 2020
A flexible sequential Monte Carlo algorithm for parametric constrained regression Kenyon Ng B. Turlach K. Murray 11 0 0 02 Oct 2018
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 38 194 0 23 Jun 2015
Risk Dynamics in Trade Networks Rafael Frongillo Mark D. Reid 27 3 0 01 Oct 2014