A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization

4 March 2018

Papers citing "A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization"

7 / 7 papers shown

Title
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems Minheng Xiao Shi Bo Zhizhong Wu 30 5 0 01 Aug 2024
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks Alireza Fallah Mert Gurbuzbalaban Asuman Ozdaglar Umut Simsekli Lingjiong Zhu 32 28 0 19 Oct 2019
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem Brian Swenson Ryan W. Murray H. Vincent Poor S. Kar 26 14 0 07 Aug 2019
Annealing for Distributed Global Optimization Brian Swenson S. Kar H. Vincent Poor J. M. F. Moura 25 30 0 18 Mar 2019
COLA: Decentralized Linear Learning Lie He An Bian Martin Jaggi 24 117 0 13 Aug 2018
A Distributed Second-Order Algorithm You Can Trust Celestine Mendler-Dünner Aurelien Lucchi Matilde Gargiani An Bian Thomas Hofmann Martin Jaggi 34 32 0 20 Jun 2018
Proximal Quasi-Newton Methods for Regularized Convex Optimization with Linear and Accelerated Sublinear Convergence Rates Hiva Ghanbari K. Scheinberg 16 7 0 11 Jul 2016