Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
1703.09813
Cited By

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

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

28 March 2017

ArXiv (abs)PDF HTML

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

6 / 6 papers shown

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 StrategyInternational Conference on Machine Learning (ICML), 2024

299

21

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 ProblemsInternational Conference on Machine Learning (ICML), 2022

192

34

0

13 Jun 2022

Efficient differentiable quadratic programming layers: an ADMM approach

Efficient differentiable quadratic programming layers: an ADMM approach

232

31

0

14 Dec 2021

Ensembled sparse-input hierarchical networks for high-dimensional
datasets

Ensembled sparse-input hierarchical networks for high-dimensional datasets

176

5

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

278

2

0

28 Mar 2019

Stochastic Hyperparameter Optimization through Hypernetworks

Stochastic Hyperparameter Optimization through Hypernetworks

Jonathan Lorraine

372

145

0

26 Feb 2018

Page 1 of 1