Proximal Newton-type methods for minimizing composite functions

7 June 2012

Papers citing "Proximal Newton-type methods for minimizing composite functions"

17 / 17 papers shown

Title
Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization G. Fort Eric Moulines 46 6 0 02 Jan 2023
Second-order Conditional Gradient Sliding Alejandro Carderera Sebastian Pokutta 26 12 0 20 Feb 2020
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize Youngsuk Park Sauptik Dhar Stephen P. Boyd Mohak Shah 11 26 0 15 Oct 2019
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models Faicel Chamroukhi B. Huynh TPM 11 17 0 29 Oct 2018
Proximal algorithms for large-scale statistical modeling and sensor/actuator selection A. Zare Hesameddin Mohammadi Neil K. Dhingra T. Georgiou M. Jovanović 19 44 0 04 Jul 2018
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization Ching-pei Lee Cong Han Lim Stephen J. Wright 23 29 0 04 Mar 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
An inexact subsampled proximal Newton-type method for large-scale machine learning Xuanqing Liu Cho-Jui Hsieh Jason D. Lee Yuekai Sun 35 15 0 28 Aug 2017
Low-rank and Sparse NMF for Joint Endmembers' Number Estimation and Blind Unmixing of Hyperspectral Images Paris V. Giampouras A. Rontogiannis K. Koutroumbas 18 7 0 16 Mar 2017
Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods Tianxiao Sun Quoc Tran-Dinh 24 60 0 14 Mar 2017
Geometric descent method for convex composite minimization Shixiang Chen Shiqian Ma Wei Liu 36 10 0 29 Dec 2016
Randomized block proximal damped Newton method for composite self-concordant minimization Zhaosong Lu 22 11 0 01 Jul 2016
Newton-Stein Method: An optimization method for GLMs via Stein's Lemma Murat A. Erdogdu 26 13 0 28 Nov 2015
Composite convex minimization involving self-concordant-like cost functions Quoc Tran-Dinh Yen-Huan Li V. Cevher 34 19 0 04 Feb 2015
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss Yuchen Zhang Lin Xiao 38 72 0 01 Jan 2015
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators Kai Zhong Ian En-Hsu Yen Inderjit S. Dhillon Pradeep Ravikumar 56 31 0 27 Jun 2014
G-AMA: Sparse Gaussian graphical model estimation via alternating minimization Onkar Dalal B. Rajaratnam 24 26 0 13 May 2014