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Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions

Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions

Jean Feng
N. Simon
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Papers citing "Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions"

6 / 6 papers shown
Title
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
Risheng Liu
Zhu Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
54
6
0
16 May 2024
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Lucy L. Gao
J. Ye
Haian Yin
Shangzhi Zeng
Jin Zhang
32
24
0
13 Jun 2022
Efficient differentiable quadratic programming layers: an ADMM approach
Efficient differentiable quadratic programming layers: an ADMM approach
A. Butler
R. Kwon
40
18
0
14 Dec 2021
Ensembled sparse-input hierarchical networks for high-dimensional datasets
Ensembled sparse-input hierarchical networks for high-dimensional datasets
Jean Feng
N. Simon
19
4
0
11 May 2020
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
Jean Feng
N. Simon
19
1
0
28 Mar 2019
Stochastic Hyperparameter Optimization through Hypernetworks
Stochastic Hyperparameter Optimization through Hypernetworks
Jonathan Lorraine
David Duvenaud
47
139
0
26 Feb 2018