Implicit differentiation of Lasso-type models for hyperparameter optimization

20 February 2020

Papers citing "Implicit differentiation of Lasso-type models for hyperparameter optimization"

9 / 9 papers shown

Title
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 49 6 0 16 May 2024
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 35 6 0 20 Feb 2023
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems Jérôme Bolte Edouard Pauwels Antonio Silveti-Falls 26 13 0 15 Dec 2022
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems Lucy L. Gao J. Ye Haian Yin Shangzhi Zeng Jin Zhang 32 23 0 13 Jun 2022
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 23 22 0 31 May 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 22 35 0 04 Nov 2021
Understanding approximate and unrolled dictionary learning for pattern recovery Benoit Malézieux Thomas Moreau M. Kowalski MU 22 10 0 11 Jun 2021
Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation Barbara Pascal Samuel Vaiter N. Pustelnik P. Abry 30 18 0 20 Apr 2020
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 409 0 06 Mar 2017