Sparse High-Dimensional Regression: Exact Scalable Algorithms and Phase Transitions

28 September 2017

Papers citing "Sparse High-Dimensional Regression: Exact Scalable Algorithms and Phase Transitions"

32 / 32 papers shown

Title
Stability Regularized Cross-Validation Ryan Cory-Wright A. Gómez 31 0 0 11 May 2025
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 21 26 0 28 Feb 2023
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation Honglin Shu Pei Gao Lingwei Zhu Zheng Chen 16 2 0 22 Feb 2023
Understanding Best Subset Selection: A Tale of Two C(omplex)ities Saptarshi Roy Ambuj Tewari Ziwei Zhu 20 0 0 16 Jan 2023
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization Dimitris Bertsimas Wes Gurnee AI4CE 38 43 0 01 Jun 2022
ForestPrune: Compact Depth-Controlled Tree Ensembles Brian Liu Rahul Mazumder 17 5 0 31 May 2022
SRMD: Sparse Random Mode Decomposition Nicholas Richardson Hayden Schaeffer Giang Tran 27 11 0 12 Apr 2022
On Distributed Exact Sparse Linear Regression over Networks Tu Anh-Nguyen César A. Uribe 11 0 0 01 Apr 2022
HARFE: Hard-Ridge Random Feature Expansion Esha Saha Hayden Schaeffer Giang Tran 38 14 0 06 Feb 2022
Support Recovery with Stochastic Gates: Theory and Application for Linear Models Soham Jana Henry Li Yutaro Yamada Ofir Lindenbaum 28 5 0 29 Oct 2021
abess: A Fast Best Subset Selection Library in Python and R Jin Zhu Xueqin Wang Liyuan Hu Junhao Huang Kangkang Jiang Yanhang Zhang Shiyun Lin Junxian Zhu 21 22 0 19 Oct 2021
Sparse PCA: A New Scalable Estimator Based On Integer Programming Kayhan Behdin Rahul Mazumder 12 4 0 23 Sep 2021
A Splicing Approach to Best Subset of Groups Selection Yanhang Zhang Junxian Zhu Jin Zhu Xueqin Wang 23 18 0 23 Apr 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 37 27 0 14 Apr 2021
Detecting Racial Bias in Jury Selection Jack Dunn Ying Daisy Zhuo 20 1 0 22 Mar 2021
The Nonconvex Geometry of Linear Inverse Problems Armin Eftekhari Peyman Mohajerin Esfahani 26 1 0 07 Jan 2021
Certifiably Optimal Sparse Sufficient Dimension Reduction Lei Yan Xin Chen 19 1 0 15 Dec 2020
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework L. Boussioux C. Zeng Théo Guénais Dimitris Bertsimas 16 38 0 11 Nov 2020
Best subset selection is robust against design dependence Yongyi Guo Ziwei Zhu Jianqing Fan 13 7 0 03 Jul 2020
$Safe Screening Rules for $\ell_0$-Regression$ Safe Screening Rules for $\ell_0$ -Regression Alper Atamturk A. Gómez 22 23 0 19 Apr 2020
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization Hussein Hazimeh Rahul Mazumder A. Saab 93 87 0 13 Apr 2020
The Price of Interpretability Dimitris Bertsimas A. Delarue Patrick Jaillet Sébastien Martin 23 33 0 08 Jul 2019
A unified approach to mixed-integer optimization problems with logical constraints Dimitris Bertsimas Ryan Cory-Wright J. Pauphilet 27 41 0 03 Jul 2019
Certifiably Optimal Sparse Inverse Covariance Estimation Dimitris Bertsimas Jourdain Lamperski J. Pauphilet 22 13 0 25 Jun 2019
Optimization Problems for Machine Learning: A Survey Claudio Gambella Bissan Ghaddar Joe Naoum-Sawaya AI4CE 30 178 0 16 Jan 2019
Interpretable Matrix Completion: A Discrete Optimization Approach Dimitris Bertsimas M. Li 16 7 0 17 Dec 2018
Combinatorial Attacks on Binarized Neural Networks Elias Boutros Khalil Amrita Gupta B. Dilkina AAML 49 40 0 08 Oct 2018
Active Metric Learning for Supervised Classification K. Kumaran Dimitri J. Papageorgiou Yu-Ting Chang Minhan Li Martin Takáč 17 11 0 28 Mar 2018
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms Hussein Hazimeh Rahul Mazumder 37 180 0 05 Mar 2018
Sparse Hierarchical Regression with Polynomials Dimitris Bertsimas Bart P. G. Van Parys 26 9 0 28 Sep 2017