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Generalized Additive Model Selection
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Generalized Additive Model Selection

Alexandra Chouldechova
Trevor Hastie
ArXiv (abs)PDFHTML

Papers citing "Generalized Additive Model Selection"

18 / 18 papers shown
Title
GAM(L)A: An econometric model for interpretable Machine Learning
GAM(L)A: An econometric model for interpretable Machine Learning
Emmanuel Flachaire
Gilles Hacheme
Sullivan Hué
S. Laurent
43
0
0
17 Mar 2022
Group selection and shrinkage: Structured sparsity for semiparametric additive models
Group selection and shrinkage: Structured sparsity for semiparametric additive models
Ryan Thompson
Farshid Vahid
69
1
0
25 May 2021
A decision-making tool to fine-tune abnormal levels in the complete blood count tests
A decision-making tool to fine-tune abnormal levels in the complete blood count tests
Marta Avalos Fernandez
Hélène Touchais
Marcela Henriquez-Henriquez
43
0
0
11 Nov 2020
Too good to be true? Predicting author profiles from abusive language
Too good to be true? Predicting author profiles from abusive language
Isabelle van der Vegt
Bennett Kleinberg
P. Gill
10
2
0
02 Sep 2020
Ridge Regularizaton: an Essential Concept in Data Science
Ridge Regularizaton: an Essential Concept in Data Science
Trevor Hastie
40
84
0
30 May 2020
Interpretable Learning-to-Rank with Generalized Additive Models
Interpretable Learning-to-Rank with Generalized Additive Models
Honglei Zhuang
Xuanhui Wang
Michael Bendersky
Alexander Grushetsky
Yonghui Wu
Petr Mitrichev
Ethan Sterling
Nathan Bell
Walker Ravina
Hai Qian
AI4CEFAtt
86
12
0
06 May 2020
A first-order optimization algorithm for statistical learning with hierarchical sparsity structure
A first-order optimization algorithm for statistical learning with hierarchical sparsity structure
Dewei Zhang
Yin Liu
S. Tajbakhsh
73
2
0
10 Jan 2020
Reluctant generalized additive modeling
Reluctant generalized additive modeling
J. K. Tay
Robert Tibshirani
50
1
0
04 Dec 2019
Partially Linear Additive Gaussian Graphical Models
Partially Linear Additive Gaussian Graphical Models
Sinong Geng
Minhao Yan
Mladen Kolar
Oluwasanmi Koyejo
81
14
0
08 Jun 2019
Generalized Sparse Additive Models
Generalized Sparse Additive Models
Asad Haris
N. Simon
Ali Shojaie
60
16
0
11 Mar 2019
Optimization Problems for Machine Learning: A Survey
Optimization Problems for Machine Learning: A Survey
Claudio Gambella
Bissan Ghaddar
Joe Naoum-Sawaya
AI4CE
142
181
0
16 Jan 2019
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
Yingying Fan
Emre Demirkaya
Gaorong Li
Jinchi Lv
101
72
0
31 Aug 2017
ROS Regression: Integrating Regularization and Optimal Scaling Regression
ROS Regression: Integrating Regularization and Optimal Scaling Regression
J. Meulman
A. J. Kooij
18
15
0
16 Nov 2016
Saturating Splines and Feature Selection
Saturating Splines and Feature Selection
N. Boyd
Trevor Hastie
Stephen P. Boyd
Benjamin Recht
Michael I. Jordan
70
13
0
21 Sep 2016
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations
Xiaohan Yan
Jacob Bien
196
47
0
05 Dec 2015
Selective inference in regression models with groups of variables
Selective inference in regression models with groups of variables
Joshua R. Loftus
Jonathan E. Taylor
52
45
0
04 Nov 2015
Adaptive variable selection in nonparametric sparse additive models
Adaptive variable selection in nonparametric sparse additive models
C. Butucea
N. Stepanova
76
13
0
26 Aug 2015
Sparse Partially Linear Additive Models
Sparse Partially Linear Additive Models
Yin Lou
Jacob Bien
R. Caruana
J. Gehrke
133
58
0
17 Jul 2014