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Nonsmoothness in Machine Learning: specific structure, proximal
  identification, and applications

Nonsmoothness in Machine Learning: specific structure, proximal identification, and applications

2 October 2020
F. Iutzeler
J. Malick
ArXivPDFHTML

Papers citing "Nonsmoothness in Machine Learning: specific structure, proximal identification, and applications"

3 / 3 papers shown
Title
Reducing Discretization Error in the Frank-Wolfe Method
Reducing Discretization Error in the Frank-Wolfe Method
Zhaoyue Chen
Yifan Sun
24
1
0
04 Apr 2023
Distributed stochastic proximal algorithm with random reshuffling for
  non-smooth finite-sum optimization
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization
Xia Jiang
Xianlin Zeng
Jian Sun
Jie Chen
Lihua Xie
18
6
0
06 Nov 2021
A Fast and Accurate Splitting Method for Optimal Transport: Analysis and
  Implementation
A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation
Vien V. Mai
Jacob Lindbäck
M. Johansson
OT
16
7
0
22 Oct 2021
1