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Composite Self-Concordant Minimization

Composite Self-Concordant Minimization

13 August 2013
Quoc Tran-Dinh
Anastasios Kyrillidis
V. Cevher
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Papers citing "Composite Self-Concordant Minimization"

14 / 14 papers shown
Title
Gradient Descent-Type Methods: Background and Simple Unified Convergence
  Analysis
Gradient Descent-Type Methods: Background and Simple Unified Convergence Analysis
Quoc Tran-Dinh
Marten van Dijk
34
0
0
19 Dec 2022
Algorithms for Nonnegative Matrix Factorization with the
  Kullback-Leibler Divergence
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence
L. Hien
Nicolas Gillis
16
58
0
05 Oct 2020
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization
Deyi Liu
V. Cevher
Quoc Tran-Dinh
34
15
0
17 Feb 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms
Self-Concordant Analysis of Frank-Wolfe Algorithms
Pavel Dvurechensky
P. Ostroukhov
K. Safin
Shimrit Shtern
Mathias Staudigl
19
24
0
11 Feb 2020
An inexact subsampled proximal Newton-type method for large-scale
  machine learning
An inexact subsampled proximal Newton-type method for large-scale machine learning
Xuanqing Liu
Cho-Jui Hsieh
J. Lee
Yuekai Sun
32
15
0
28 Aug 2017
Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods
Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods
Tianxiao Sun
Quoc Tran-Dinh
22
60
0
14 Mar 2017
Fast and Simple Optimization for Poisson Likelihood Models
Fast and Simple Optimization for Poisson Likelihood Models
Niao He
Zaïd Harchaoui
Yichen Wang
Le Song
23
14
0
03 Aug 2016
Randomized block proximal damped Newton method for composite
  self-concordant minimization
Randomized block proximal damped Newton method for composite self-concordant minimization
Zhaosong Lu
14
11
0
01 Jul 2016
Dropping Convexity for Faster Semi-definite Optimization
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
27
172
0
14 Sep 2015
Adaptive Smoothing Algorithms for Nonsmooth Composite Convex
  Minimization
Adaptive Smoothing Algorithms for Nonsmooth Composite Convex Minimization
Quoc Tran-Dinh
16
28
0
01 Sep 2015
Composite convex minimization involving self-concordant-like cost
  functions
Composite convex minimization involving self-concordant-like cost functions
Quoc Tran-Dinh
Yen-Huan Li
V. Cevher
26
19
0
04 Feb 2015
Communication-Efficient Distributed Optimization of Self-Concordant
  Empirical Loss
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss
Yuchen Zhang
Lin Xiao
38
72
0
01 Jan 2015
A Primal-Dual Algorithmic Framework for Constrained Convex Minimization
A Primal-Dual Algorithmic Framework for Constrained Convex Minimization
Quoc Tran-Dinh
V. Cevher
32
47
0
20 Jun 2014
Scalable sparse covariance estimation via self-concordance
Scalable sparse covariance estimation via self-concordance
Anastasios Kyrillidis
Rabeeh Karimi Mahabadi
Quoc Tran-Dinh
V. Cevher
32
13
0
13 May 2014
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