Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization

13 April 2020

Papers citing "Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization"

10 / 10 papers shown

Title
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions Danial Davarnia Mohammadreza Kiaghadi 22 0 0 06 May 2025
Constrained Optimization of Rank-One Functions with Indicator Variables Soroosh Shafieezadeh-Abadeh Fatma Kılınç Karzan 21 4 0 31 Mar 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization Riade Benbaki Wenyu Chen X. Meng Hussein Hazimeh Natalia Ponomareva Zhe Zhao Rahul Mazumder 13 26 0 28 Feb 2023
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization Dimitris Bertsimas Wes Gurnee AI4CE 26 43 0 01 Jun 2022
ForestPrune: Compact Depth-Controlled Tree Ensembles Brian Liu Rahul Mazumder 9 5 0 31 May 2022
Feature subset selection for kernel SVM classification via mixed-integer optimization Ryuta Tamura Yuichi Takano Ryuhei Miyashiro 19 2 0 28 May 2022
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions Shibal Ibrahim P. Radchenko E. Ben-David Rahul Mazumder 24 2 0 24 Aug 2021
A Splicing Approach to Best Subset of Groups Selection Yanhang Zhang Junxian Zhu Jin Zhu Xueqin Wang 18 18 0 23 Apr 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 29 27 0 14 Apr 2021
Supermodularity and valid inequalities for quadratic optimization with indicators Alper Atamtürk A. Gómez 18 21 0 29 Dec 2020