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Composite Self-Concordant Minimization

13 August 2013

Quoc Tran-Dinh

Anastasios Kyrillidis

Volkan Cevher

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Papers citing "Composite Self-Concordant Minimization"

28 / 28 papers shown

Title
Gradient Descent-Type Methods: Background and Simple Unified Convergence Analysis Quoc Tran-Dinh Marten van Dijk 58 0 0 19 Dec 2022
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography C. Tsai Hao-Chung Cheng Yen-Huan Li 56 4 0 23 Nov 2022
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models Yangjing Zhang Ying Cui B. Sen Kim-Chuan Toh 80 5 0 16 Aug 2022
Efficient proximal gradient algorithms for joint graphical lasso Jie Chen Ryosuke Shimmura J. Suzuki 18 0 0 16 Jul 2021
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence L. Hien Nicolas Gillis 79 59 0 05 Oct 2020
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization Deyi Liu Volkan Cevher Quoc Tran-Dinh 87 15 0 17 Feb 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms Pavel Dvurechensky P. Ostroukhov K. Safin Shimrit Shtern Mathias Staudigl 103 24 0 11 Feb 2020
Finite-sample analysis of M-estimators using self-concordance Dmitrii Ostrovskii Francis R. Bach 87 52 0 16 Oct 2018
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption Martin Bompaire Emmanuel Bacry Stéphane Gaïffas 83 6 0 10 Jul 2018
An inexact subsampled proximal Newton-type method for large-scale machine learning Xuanqing Liu Cho-Jui Hsieh Jason D. Lee Yuekai Sun 67 15 0 28 Aug 2017
Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods Tianxiao Sun Quoc Tran-Dinh 69 62 0 14 Mar 2017
Fast and Simple Optimization for Poisson Likelihood Models Niao He Zaïd Harchaoui Yichen Wang Le Song 102 14 0 03 Aug 2016
Randomized block proximal damped Newton method for composite self-concordant minimization Zhaosong Lu 66 11 0 01 Jul 2016
A single-phase, proximal path-following framework Quoc Tran-Dinh Anastasios Kyrillidis Volkan Cevher 45 6 0 05 Mar 2016
Dropping Convexity for Faster Semi-definite Optimization Srinadh Bhojanapalli Anastasios Kyrillidis Sujay Sanghavi 101 173 0 14 Sep 2015
Adaptive Smoothing Algorithms for Nonsmooth Composite Convex Minimization Quoc Tran-Dinh 130 28 0 01 Sep 2015
Structured Sparsity: Discrete and Convex approaches Anastasios Kyrillidis Luca Baldassarre Marwa El Halabi Quoc Tran-Dinh Volkan Cevher 63 27 0 20 Jul 2015
A scalable system for primal-dual optimization R. Ionescu 30 0 0 06 Jul 2015
Poisson Matrix Recovery and Completion Yang Cao Yao Xie 72 63 0 20 Apr 2015
Projected Nesterov's Proximal-Gradient Algorithm for Sparse Signal Reconstruction with a Convex Constraint Renliang Gu Aleksandar Dogandzic 34 18 0 09 Feb 2015
Composite convex minimization involving self-concordant-like cost functions Quoc Tran-Dinh Yen-Huan Li Volkan Cevher 63 19 0 04 Feb 2015
Poisson Matrix Completion Yang Cao Yao Xie 62 10 0 26 Jan 2015
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss Yuchen Zhang Lin Xiao 181 72 0 01 Jan 2015
Convex Optimization for Big Data Volkan Cevher Stephen Becker Mark Schmidt 87 303 0 04 Nov 2014
A Primal-Dual Algorithmic Framework for Constrained Convex Minimization Quoc Tran-Dinh Volkan Cevher 114 47 0 20 Jun 2014
Scalable sparse covariance estimation via self-concordance Anastasios Kyrillidis Rabeeh Karimi Mahabadi Quoc Tran-Dinh Volkan Cevher 78 13 0 13 May 2014
An Inexact Proximal Path-Following Algorithm for Constrained Convex Minimization Quoc Tran-Dinh Anastasios Kyrillidis Volkan Cevher 56 29 0 07 Nov 2013
Sparsity Based Poisson Denoising with Dictionary Learning Raja Giryes Michael Elad 141 114 0 17 Sep 2013