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Self-Concordant Analysis of Frank-Wolfe Algorithms

Self-Concordant Analysis of Frank-Wolfe Algorithms

11 February 2020
Pavel Dvurechensky
P. Ostroukhov
K. Safin
Shimrit Shtern
Mathias Staudigl
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Papers citing "Self-Concordant Analysis of Frank-Wolfe Algorithms"

13 / 13 papers shown
Title
Almost Free: Self-concordance in Natural Exponential Families and an
  Application to Bandits
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
Shuai Liu
Alex Ayoub
Flore Sentenac
Xiaoqi Tan
Csaba Szepesvári
26
1
0
01 Oct 2024
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum
  State Tomography
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography
C. Tsai
Hao-Chung Cheng
Yen-Huan Li
24
4
0
23 Nov 2022
On Efficient and Scalable Computation of the Nonparametric Maximum
  Likelihood Estimator in Mixture Models
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
Yangjing Zhang
Ying Cui
B. Sen
Kim-Chuan Toh
24
5
0
16 Aug 2022
A conditional gradient homotopy method with applications to Semidefinite Programming
A conditional gradient homotopy method with applications to Semidefinite Programming
Pavel Dvurechensky
Shimrit Shtern
Shimrit Shtern
Mathias Staudigl
12
0
0
07 Jul 2022
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
L. Danon
Dan Garber
14
3
0
19 Jun 2022
Demystifying and Generalizing BinaryConnect
Demystifying and Generalizing BinaryConnect
Abhishek Sharma
Yaoliang Yu
Eyyub Sari
Mahdi Zolnouri
V. Nia
MQ
17
8
0
25 Oct 2021
Nonparametric Finite Mixture Models with Possible Shape Constraints: A
  Cubic Newton Approach
Nonparametric Finite Mixture Models with Possible Shape Constraints: A Cubic Newton Approach
Haoyue Wang
Shibal Ibrahim
Rahul Mazumder
15
3
0
18 Jul 2021
Scalable Frank-Wolfe on Generalized Self-concordant Functions via Simple
  Steps
Scalable Frank-Wolfe on Generalized Self-concordant Functions via Simple Steps
Alejandro Carderera
Mathieu Besançon
S. Pokutta
11
4
0
28 May 2021
Parameter-free Locally Accelerated Conditional Gradients
Parameter-free Locally Accelerated Conditional Gradients
Alejandro Carderera
Jelena Diakonikolas
Cheuk Yin Lin
S. Pokutta
22
7
0
12 Feb 2021
First-Order Methods for Convex Optimization
First-Order Methods for Convex Optimization
Pavel Dvurechensky
Mathias Staudigl
Shimrit Shtern
ODL
16
25
0
04 Jan 2021
Maximum-Likelihood Quantum State Tomography by Soft-Bayes
Maximum-Likelihood Quantum State Tomography by Soft-Bayes
Chien-Ming Lin
Yu-Ming Hsu
Yen-Huan Li
16
1
0
31 Dec 2020
Second-order Conditional Gradient Sliding
Second-order Conditional Gradient Sliding
Alejandro Carderera
S. Pokutta
14
12
0
20 Feb 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
21
15
0
17 Feb 2020
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