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Rare Feature Selection in High Dimensions

Rare Feature Selection in High Dimensions

18 March 2018
Xiaohan Yan
Jacob Bien
ArXivPDFHTML

Papers citing "Rare Feature Selection in High Dimensions"

13 / 13 papers shown
Title
A Model-free Closeness-of-influence Test for Features in Supervised
  Learning
A Model-free Closeness-of-influence Test for Features in Supervised Learning
M. Mehrabi
Ryan A. Rossi
TDI
35
0
0
20 Jun 2023
Multiresolution categorical regression for interpretable cell type
  annotation
Multiresolution categorical regression for interpretable cell type annotation
Aaron J. Molstad
Keshav Motwani
25
0
0
29 Aug 2022
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic
  Health Records Data
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
Jianmin Chen
R. Aseltine
Fei Wang
Kun Chen
CML
11
3
0
18 Jun 2022
Controlling the False Split Rate in Tree-Based Aggregation
Controlling the False Split Rate in Tree-Based Aggregation
Simeng Shao
Jacob Bien
Adel Javanmard
27
1
0
11 Aug 2021
Stochastic Projective Splitting: Solving Saddle-Point Problems with
  Multiple Regularizers
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers
Patrick R. Johnstone
Jonathan Eckstein
Thomas Flynn
Shinjae Yoo
19
2
0
24 Jun 2021
Tree-based Node Aggregation in Sparse Graphical Models
Tree-based Node Aggregation in Sparse Graphical Models
Ines Wilms
Jacob Bien
18
4
0
29 Jan 2021
Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses
Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses
Wenjie Wang
Chongliang Luo
R. Aseltine
Fei Wang
Jun Yan
Kun Chen
CML
6
0
0
05 Sep 2020
Sparse principal component regression via singular value decomposition
  approach
Sparse principal component regression via singular value decomposition approach
Shuichi Kawano
4
5
0
21 Feb 2020
Reluctant Interaction Modeling
Reluctant Interaction Modeling
Guo Yu
Jacob Bien
R. Tibshirani
12
20
0
19 Jul 2019
New Computational and Statistical Aspects of Regularized Regression with
  Application to Rare Feature Selection and Aggregation
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
Amin Jalali
Adel Javanmard
Maryam Fazel
28
1
0
10 Apr 2019
Single-Forward-Step Projective Splitting: Exploiting Cocoercivity
Single-Forward-Step Projective Splitting: Exploiting Cocoercivity
Patrick R. Johnstone
Jonathan Eckstein
8
20
0
24 Feb 2019
Testing for Conditional Mean Independence with Covariates through
  Martingale Difference Divergence
Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence
Ze Jin
Xiaohan Yan
David S. Matteson
18
1
0
17 May 2018
Projective Splitting with Forward Steps: Asynchronous and
  Block-Iterative Operator Splitting
Projective Splitting with Forward Steps: Asynchronous and Block-Iterative Operator Splitting
Patrick R. Johnstone
Jonathan Eckstein
14
40
0
19 Mar 2018
1