$Safe Screening Rules for $\ell_0$-Regression$

Safe Screening Rules for $\ell_0$ -Regression

19 April 2020

Papers citing "Safe Screening Rules for $\ell_0$-Regression"

13 / 13 papers shown

Title
Robust support vector machines via conic optimization Valentina Cepeda Andrés Gómez Shaoning Han 22 0 0 02 Feb 2024
BackboneLearn: A Library for Scaling Mixed-Integer Optimization-Based Machine Learning V. Digalakis Christos Ziakas 34 0 0 22 Nov 2023
Path Signatures for Seizure Forecasting Jonas F. Haderlein A. Peterson P. Z. Eskikand M. Cook A. Burkitt I. Mareels D. Grayden 24 3 0 18 Aug 2023
Outlier detection in regression: conic quadratic formulations A. Gómez J. Neto 18 4 0 12 Jul 2023
Safe Screening for Unbalanced Optimal Transport Xun Su Zhongxi Fang Hiroyuki Kasai OT 10 0 0 01 Jul 2023
OKRidge: Scalable Optimal k-Sparse Ridge Regression Jiachang Liu Sam Rosen Chudi Zhong Cynthia Rudin 22 4 0 13 Apr 2023
Constrained Optimization of Rank-One Functions with Indicator Variables Soroosh Shafieezadeh-Abadeh Fatma Kılınç Karzan 21 4 0 31 Mar 2023
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks Alicia Y. Tsai Juliette Decugis L. Ghaoui Alper Atamtürk 38 3 0 19 Sep 2022
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 23 0 0 29 Nov 2021
Principal Component Hierarchy for Sparse Quadratic Programs R. Vreugdenhil Viet Anh Nguyen Armin Eftekhari Peyman Mohajerin Esfahani 17 2 0 25 May 2021
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning Dimitris Bertsimas V. Digalakis 35 10 0 11 Jun 2020
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization Hussein Hazimeh Rahul Mazumder A. Saab 86 87 0 13 Apr 2020
Sparse and Smooth Signal Estimation: Convexification of L0 Formulations Alper Atamtürk A. Gómez Shaoning Han 13 43 0 06 Nov 2018