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Regularization vs. Relaxation: A conic optimization perspective of
  statistical variable selection

Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection

20 October 2015
Hongbo Dong
Kun Chen
Jeff T. Linderoth
ArXivPDFHTML

Papers citing "Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection"

3 / 3 papers shown
Title
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
25
27
0
14 Apr 2021
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
76
87
0
13 Apr 2020
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
17
40
0
03 Jul 2019
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