Constrained Optimization of Rank-One Functions with Indicator Variables

31 March 2023

Papers citing "Constrained Optimization of Rank-One Functions with Indicator Variables"

19 / 19 papers shown

Title
$Safe Screening for Logistic Regression with $\ell_0$-$\ell_2$ Regularization$ Safe Screening for Logistic Regression with $\ell_0$ - $\ell_2$ Regularization Anna Deza Alper Atamtürk 88 11 0 01 Feb 2022
On the convex hull of convex quadratic optimization problems with indicators Linchuan Wei Alper Atamtürk Andrés Gómez Simge Küçükyavuz 36 18 0 02 Jan 2022
A new perspective on low-rank optimization Dimitris Bertsimas Ryan Cory-Wright J. Pauphilet 49 15 0 12 May 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 310 27 0 14 Apr 2021
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties Kayhan Behdin Rahul Mazumder 25 2 0 08 Apr 2021
Supermodularity and valid inequalities for quadratic optimization with indicators Alper Atamtürk A. Gómez 46 22 0 29 Dec 2020
Ideal formulations for constrained convex optimization problems with indicator variables Linchuan Wei A. Gómez Simge Küçükyavuz 42 33 0 30 Jun 2020
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks Simge Küçükyavuz Ali Shojaie Hasan Manzour Linchuan Wei Hao-Hsiang Wu 34 16 0 29 May 2020
$Safe Screening Rules for $\ell_0$-Regression$ Safe Screening Rules for $\ell_0$ -Regression Alper Atamturk A. Gómez 56 23 0 19 Apr 2020
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization Hussein Hazimeh Rahul Mazumder A. Saab 188 91 0 13 Apr 2020
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data Hasan Manzour Simge Küçükyavuz Ali Shojaie CML 34 38 0 23 Apr 2019
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach Hussein Hazimeh Rahul Mazumder 159 19 0 05 Feb 2019
Rank-one Convexification for Sparse Regression Alper Atamtürk A. Gómez 148 50 0 29 Jan 2019
Sparse and Smooth Signal Estimation: Convexification of L0 Formulations Alper Atamtürk A. Gómez Shaoning Han 66 44 0 06 Nov 2018
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms Hussein Hazimeh Rahul Mazumder 319 181 0 05 Mar 2018
Sparse High-Dimensional Regression: Exact Scalable Algorithms and Phase Transitions Dimitris Bertsimas Bart P. G. Van Parys 143 158 0 28 Sep 2017
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 344 662 0 11 Jul 2015
A lasso for hierarchical interactions Jacob Bien Jonathan E. Taylor Robert Tibshirani 165 485 0 22 May 2012
A Selective Review of Group Selection in High-Dimensional Models Jian Huang P. Breheny Shuangge Ma 175 380 0 29 Apr 2012