Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection

7 October 2016

Papers citing "Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection"

27 / 27 papers shown

Title
Error-controlled non-additive interaction discovery in machine learning models Winston Chen Yifan Jiang William Stafford Noble Yang Young Lu 45 1 0 17 Feb 2025
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection Xiaochen Zhang Yunfeng Cai Haoyi Xiong 47 0 0 28 Jan 2025
Nonparametric IPSS: Fast, flexible feature selection with false discovery control Omar Melikechi David B. Dunson Jeffrey W. Miller 132 0 0 03 Oct 2024
Interpreting artificial neural networks to detect genome-wide association signals for complex traits Burak Yelmen Maris Alver Estonian Biobank Research Team Flora Jay L. Milani Lili Milani 40 0 0 26 Jul 2024
Variable Importance in High-Dimensional Settings Requires Grouping Ahmad Chamma Bertrand Thirion D. Engemann 41 3 0 18 Dec 2023
Deep anytime-valid hypothesis testing T. Pandeva Patrick Forré Aaditya Ramdas S. Shekhar 35 3 0 30 Oct 2023
On the term "randomization test" J. Hemerik 30 4 0 13 Jun 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value Yongchan Kwon James Y. Zou TDI FedML 31 35 0 16 Apr 2023
Stepdown SLOPE for Controlled Feature Selection Jingxuan Liang H. Chen Xuelin Zhang Weifu Li Xin Tang 74 0 0 21 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 47 8 0 02 Jan 2023
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 21 7 0 27 Nov 2022
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio' M. Schaar 36 11 0 01 Nov 2022
Conditional Feature Importance for Mixed Data Kristin Blesch David S. Watson Marvin N. Wright 50 7 0 06 Oct 2022
Model-X Sequential Testing for Conditional Independence via Testing by Betting Shalev Shaer Gal Maman Yaniv Romano 24 16 0 01 Oct 2022
Hypothesis Testing in Sequentially Sampled Data: AdapRT to Maximize Power Beyond iid Sampling D. Ham Jia Qiu 16 1 0 05 May 2022
Error-based Knockoffs Inference for Controlled Feature Selection Xuebin Zhao H. Chen Yingjie Wang Weifu Li Tieliang Gong Yulong Wang Feng Zheng 34 1 0 09 Mar 2022
High-Dimensional Knockoffs Inference for Time Series Data Chien-Ming Chi Yingying Fan C. Ing Jinchi Lv AI4TS 27 6 0 18 Dec 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings M. Scetbon Laurent Meunier Yaniv Romano 20 9 0 28 Oct 2021
On Azadkia-Chatterjee's conditional dependence coefficient Hongjian Shi Mathias Drton Fang Han 24 30 0 15 Aug 2021
Forward Stability and Model Path Selection N. Kissel L. Mentch 29 13 0 05 Mar 2021
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 42 63 0 27 Jul 2020
Relative Feature Importance Gunnar Konig Christoph Molnar B. Bischl Moritz Grosse-Wentrup 6 48 0 16 Jul 2020
A Bayesian nonparametric test for conditional independence Onur Teymur Sarah Filippi 16 3 0 24 Oct 2019
More Powerful Selective Kernel Tests for Feature Selection Jen Ning Lim M. Yamada Wittawat Jitkrittum Y. Terada S. Matsui Hidetoshi Shimodaira 47 9 0 14 Oct 2019
Null-free False Discovery Rate Control Using Decoy Permutations Kun He Mengjie Li Yan Fu Fuzhou Gong Xiaoming Sun 14 36 0 23 Apr 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 23 285 0 19 Mar 2018
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 123 216 0 02 Jan 2008