Outlier detection in regression: conic quadratic formulations

12 July 2023

Papers citing "Outlier detection in regression: conic quadratic formulations"

21 / 21 papers shown

Title
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization Hussein Hazimeh Rahul Mazumder Tim Nonet 53 16 0 10 Feb 2022
P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints Jan Kronqvist Ruth Misener Calvin Tsay 75 7 0 10 Feb 2022
On the convex hull of convex quadratic optimization problems with indicators Linchuan Wei Alper Atamtürk Andrés Gómez Simge Küçükyavuz 57 18 0 02 Jan 2022
Linear regression with partially mismatched data: local search with theoretical guarantees Rahul Mazumder Haoyue Wang 51 6 0 03 Jun 2021
Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees Luca Insolia Ana M. Kenney Francesca Chiaromonte G. Felici 44 20 0 12 Jul 2020
$Safe Screening Rules for $\ell_0$-Regression$ Safe Screening Rules for $\ell_0$ -Regression Alper Atamturk A. Gómez 66 23 0 19 Apr 2020
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization Hussein Hazimeh Rahul Mazumder A. Saab 218 91 0 13 Apr 2020
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data Hasan Manzour Simge Küçükyavuz Ali Shojaie CML 53 38 0 23 Apr 2019
Iterative Least Trimmed Squares for Mixed Linear Regression Yanyao Shen Sujay Sanghavi 62 25 0 10 Feb 2019
Rank-one Convexification for Sparse Regression Alper Atamtürk A. Gómez 196 50 0 29 Jan 2019
Sparse and Smooth Signal Estimation: Convexification of L0 Formulations Alper Atamtürk A. Gómez Shaoning Han 77 44 0 06 Nov 2018
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms Hussein Hazimeh Rahul Mazumder 409 183 0 05 Mar 2018
Sparse High-Dimensional Regression: Exact Scalable Algorithms and Phase Transitions Dimitris Bertsimas Bart P. G. Van Parys 165 158 0 28 Sep 2017
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low Rahul Mazumder P. Radchenko Antoine Dedieu 396 59 0 10 Aug 2017
The ALAMO approach to machine learning Zachary T. Wilson N. Sahinidis 32 161 0 31 May 2017
Subset Selection for Multiple Linear Regression via Optimization Young Woong Park Diego Klabjan 132 35 0 27 Jan 2017
Minimization of Akaike's Information Criterion in Linear Regression Analysis via Mixed Integer Nonlinear Program K. Kimura Hayato Waki 28 29 0 16 Jun 2016
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection Hongbo Dong Kun Chen Jeff T. Linderoth 169 59 0 20 Oct 2015
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 451 664 0 11 Jul 2015
Robust Regression via Hard Thresholding Kush S. Bhatia Prateek Jain Purushottam Kar AAML OOD 52 157 0 08 Jun 2015
Least quantile regression via modern optimization Dimitris Bertsimas Rahul Mazumder 132 65 0 31 Oct 2013