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Holistic Generalized Linear Models

Holistic Generalized Linear Models

30 May 2022
Benjamin Schwendinger
Florian Schwendinger
Laura Vana
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Holistic Generalized Linear Models"

8 / 8 papers shown
Title
abess: A Fast Best Subset Selection Library in Python and R
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
68
22
0
19 Oct 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
44
18
0
23 Apr 2021
Scalable Holistic Linear Regression
Scalable Holistic Linear Regression
Dimitris Bertsimas
M. Li
62
19
0
08 Feb 2019
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
417
183
0
05 Mar 2018
CVXR: An R Package for Disciplined Convex Optimization
CVXR: An R Package for Disciplined Convex Optimization
A. Fu
B. Narasimhan
Stephen P. Boyd
71
145
0
21 Nov 2017
Selective inference with a randomized response
Selective inference with a randomized response
Xiaoying Tian
Jonathan E. Taylor
117
153
0
24 Jul 2015
Exact post-selection inference, with application to the lasso
Exact post-selection inference, with application to the lasso
Jason D. Lee
Dennis L. Sun
Yuekai Sun
Jonathan E. Taylor
217
734
0
25 Nov 2013
Non-negative least squares for high-dimensional linear models:
  consistency and sparse recovery without regularization
Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization
M. Slawski
Matthias Hein
108
186
0
04 May 2012
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