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Best Subset Selection via a Modern Optimization Lens

Best Subset Selection via a Modern Optimization Lens

11 July 2015
Dimitris Bertsimas
Angela King
Rahul Mazumder
ArXivPDFHTML

Papers citing "Best Subset Selection via a Modern Optimization Lens"

46 / 46 papers shown
Title
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions
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
On support vector machines under a multiple-cost scenario
On support vector machines under a multiple-cost scenario
Sandra Benítez-Peña
R. Blanquero
E. Carrizosa
Pepa Ramírez-Cobo
13
11
0
22 Dec 2023
End-to-end Feature Selection Approach for Learning Skinny Trees
End-to-end Feature Selection Approach for Learning Skinny Trees
Shibal Ibrahim
Kayhan Behdin
Rahul Mazumder
30
0
0
28 Oct 2023
OKRidge: Scalable Optimal k-Sparse Ridge Regression
OKRidge: Scalable Optimal k-Sparse Ridge Regression
Jiachang Liu
Sam Rosen
Chudi Zhong
Cynthia Rudin
19
4
0
13 Apr 2023
Constrained Optimization of Rank-One Functions with Indicator Variables
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
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Riade Benbaki
Wenyu Chen
X. Meng
Hussein Hazimeh
Natalia Ponomareva
Zhe Zhao
Rahul Mazumder
18
26
0
28 Feb 2023
A distribution-free mixed-integer optimization approach to hierarchical
  modelling of clustered and longitudinal data
A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data
Madhav Sankaranarayanan
Intekhab Hossain
Tom Chen
15
0
0
06 Feb 2023
Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Saptarshi Roy
Ambuj Tewari
Ziwei Zhu
18
0
0
16 Jan 2023
Relative Sparsity for Medical Decision Problems
Relative Sparsity for Medical Decision Problems
Samuel J. Weisenthal
Sally W. Thurston
Ashkan Ertefaie
27
2
0
29 Nov 2022
Sparse PCA With Multiple Components
Sparse PCA With Multiple Components
Ryan Cory-Wright
J. Pauphilet
34
2
0
29 Sep 2022
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor
  Problem
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem
Breno Serrano
Stefan Minner
Maximilian Schiffer
Thibaut Vidal
23
8
0
12 Sep 2022
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the
  Optimization Landscape Around the True Solution
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma
S. Fattahi
42
5
0
15 Jul 2022
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization
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
ForestPrune: Compact Depth-Controlled Tree Ensembles
Brian Liu
Rahul Mazumder
15
5
0
31 May 2022
Feature subset selection for kernel SVM classification via mixed-integer
  optimization
Feature subset selection for kernel SVM classification via mixed-integer optimization
Ryuta Tamura
Yuichi Takano
Ryuhei Miyashiro
19
2
0
28 May 2022
COMBSS: Best Subset Selection via Continuous Optimization
COMBSS: Best Subset Selection via Continuous Optimization
S. Moka
Benoit Liquet
Hou-Ying Zhu
Samuel Muller
28
6
0
05 May 2022
Review of automated time series forecasting pipelines
Review of automated time series forecasting pipelines
Stefan Meisenbacher
Marian Turowski
Kaleb Phipps
Martin Ratz
D. Muller
V. Hagenmeyer
Ralf Mikut
TPM
AI4TS
19
52
0
03 Feb 2022
Optimization-based Causal Estimation from Heterogenous Environments
Optimization-based Causal Estimation from Heterogenous Environments
Mingzhang Yin
Yixin Wang
David M. Blei
OOD
82
17
0
24 Sep 2021
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
Shibal Ibrahim
P. Radchenko
E. Ben-David
Rahul Mazumder
27
2
0
24 Aug 2021
Subset selection for linear mixed models
Subset selection for linear mixed models
Daniel R. Kowal
12
3
0
27 Jul 2021
A Splicing Approach to Best Subset of Groups Selection
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
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
Hussein Hazimeh
Rahul Mazumder
P. Radchenko
32
27
0
14 Apr 2021
Detecting Racial Bias in Jury Selection
Detecting Racial Bias in Jury Selection
Jack Dunn
Ying Daisy Zhuo
20
1
0
22 Mar 2021
The Nonconvex Geometry of Linear Inverse Problems
The Nonconvex Geometry of Linear Inverse Problems
Armin Eftekhari
Peyman Mohajerin Esfahani
15
1
0
07 Jan 2021
Certifiably Optimal Sparse Sufficient Dimension Reduction
Certifiably Optimal Sparse Sufficient Dimension Reduction
Lei Yan
Xin Chen
14
1
0
15 Dec 2020
Smoothed Quantile Regression with Large-Scale Inference
Smoothed Quantile Regression with Large-Scale Inference
Xuming He
Xiaoou Pan
Kean Ming Tan
Wen-Xin Zhou
14
93
0
09 Dec 2020
Best subset selection is robust against design dependence
Best subset selection is robust against design dependence
Yongyi Guo
Ziwei Zhu
Jianqing Fan
13
7
0
03 Jul 2020
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order
  Optimization
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization
Hussein Hazimeh
Rahul Mazumder
A. Saab
86
87
0
13 Apr 2020
IPBoost -- Non-Convex Boosting via Integer Programming
IPBoost -- Non-Convex Boosting via Integer Programming
M. Pfetsch
S. Pokutta
9
6
0
11 Feb 2020
The Price of Interpretability
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
A unified approach to mixed-integer optimization problems with logical constraints
Dimitris Bertsimas
Ryan Cory-Wright
J. Pauphilet
27
41
0
03 Jul 2019
Optimization Problems for Machine Learning: A Survey
Optimization Problems for Machine Learning: A Survey
Claudio Gambella
Bissan Ghaddar
Joe Naoum-Sawaya
AI4CE
30
178
0
16 Jan 2019
Learning non-smooth models: instrumental variable quantile regressions
  and related problems
Learning non-smooth models: instrumental variable quantile regressions and related problems
Yinchu Zhu
16
5
0
17 May 2018
Active Metric Learning for Supervised Classification
Active Metric Learning for Supervised Classification
K. Kumaran
Dimitri J. Papageorgiou
Yu-Ting Chang
Minhan Li
Martin Takáč
17
11
0
28 Mar 2018
Discrete Potts Model for Generating Superpixels on Noisy Images
Discrete Potts Model for Generating Superpixels on Noisy Images
Ruobing Shen
Xiaoyu Chen
Xiangrui Zheng
Gerhard Reinelt
SupR
18
5
0
20 Mar 2018
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial
  Optimization Algorithms
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms
Hussein Hazimeh
Rahul Mazumder
22
180
0
05 Mar 2018
Linear Regression with Sparsely Permuted Data
Linear Regression with Sparsely Permuted Data
M. Slawski
E. Ben-David
34
71
0
16 Oct 2017
Sparse Hierarchical Regression with Polynomials
Sparse Hierarchical Regression with Polynomials
Dimitris Bertsimas
Bart P. G. Van Parys
26
8
0
28 Sep 2017
Exact computation of GMM estimators for instrumental variable quantile
  regression models
Exact computation of GMM estimators for instrumental variable quantile regression models
Le‐Yu Chen
S. Lee
9
30
0
28 Mar 2017
Information Theoretic Optimal Learning of Gaussian Graphical Models
Information Theoretic Optimal Learning of Gaussian Graphical Models
Sidhant Misra
Marc Vuffray
A. Lokhov
18
5
0
15 Mar 2017
Learning Optimized Risk Scores
Learning Optimized Risk Scores
Berk Ustun
Cynthia Rudin
17
82
0
01 Oct 2016
Model Selection for Treatment Choice: Penalized Welfare Maximization
Model Selection for Treatment Choice: Penalized Welfare Maximization
Eric Mbakop
Max Tabord-Meehan
31
65
0
11 Sep 2016
Minimization of Akaike's Information Criterion in Linear Regression
  Analysis via Mixed Integer Nonlinear Program
Minimization of Akaike's Information Criterion in Linear Regression Analysis via Mixed Integer Nonlinear Program
K. Kimura
Hayato Waki
9
28
0
16 Jun 2016
Regularization vs. Relaxation: A conic optimization perspective of
  statistical variable selection
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection
Hongbo Dong
Kun Chen
Jeff T. Linderoth
39
59
0
20 Oct 2015
On the Sensitivity of the Lasso to the Number of Predictor Variables
On the Sensitivity of the Lasso to the Number of Predictor Variables
Cheryl J. Flynn
Clifford M. Hurvich
J. Simonoff
33
14
0
18 Mar 2014
Near-ideal model selection by $\ell_1$ minimization
Near-ideal model selection by ℓ1\ell_1ℓ1​ minimization
Emmanuel J. Candès
Y. Plan
129
215
0
02 Jan 2008
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