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"

40 / 40 papers shown

Title
Error-controlled non-additive interaction discovery in machine learning models Winston Chen Yifan Jiang William Stafford Noble Yang Young Lu 67 1 0 17 Feb 2025
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection Xiaochen Zhang Yunfeng Cai Haoyi Xiong 63 0 0 28 Jan 2025
Nonparametric IPSS: Fast, flexible feature selection with false discovery control Omar Melikechi David B. Dunson Jeffrey W. Miller 305 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 50 0 0 26 Jul 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection Hongyu Shen Yici Yan Zhizhen Zhao 55 0 0 27 Feb 2024
Variable Importance in High-Dimensional Settings Requires Grouping Ahmad Chamma Bertrand Thirion Denis A. Engemann 54 4 0 18 Dec 2023
Deep anytime-valid hypothesis testing T. Pandeva Patrick Forré Aaditya Ramdas S. Shekhar 43 4 0 30 Oct 2023
Statistically Valid Variable Importance Assessment through Conditional Permutations Ahmad Chamma Denis A. Engemann Bertrand Thirion 25 11 0 14 Sep 2023
On the term "randomization test" J. Hemerik 47 4 0 13 Jun 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value Yongchan Kwon James Zou TDI FedML 50 35 0 16 Apr 2023
Stepdown SLOPE for Controlled Feature Selection Jingxuan Liang Hao Chen Xuelin Zhang Weifu Li Xin Tang 101 0 0 21 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 55 8 0 02 Jan 2023
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 34 7 0 27 Nov 2022
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio M. Schaar 47 12 0 01 Nov 2022
Graphical Model Inference with Erosely Measured Data Lili Zheng Genevera I. Allen 22 1 0 20 Oct 2022
Conditional Feature Importance for Mixed Data Kristin Blesch David S. Watson Marvin N. Wright 55 7 0 06 Oct 2022
Game-theoretic statistics and safe anytime-valid inference Aaditya Ramdas Peter Grünwald V. Vovk Glenn Shafer 64 123 0 04 Oct 2022
Model-X Sequential Testing for Conditional Independence via Testing by Betting Shalev Shaer Gal Maman Yaniv Romano 58 17 0 01 Oct 2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee Minh Nhat Vu Truc D. T. Nguyen My T. Thai AAML 27 3 0 18 Sep 2022
Causal Discovery using Model Invariance through Knockoff Interventions Wasim Ahmad M. Shadaydeh Joachim Denzler CML 35 4 0 08 Jul 2022
Hypothesis Testing in Sequentially Sampled Data: AdapRT to Maximize Power Beyond iid Sampling D. Ham Jia Qiu 26 1 0 05 May 2022
Error-based Knockoffs Inference for Controlled Feature Selection Xuebin Zhao Hao Chen Yingjie Wang Weifu Li Tieliang Gong Yulong Wang Feng Zheng 62 1 0 09 Mar 2022
High-Dimensional Knockoffs Inference for Time Series Data Chien-Ming Chi Yingying Fan C. Ing Jinchi Lv AI4TS 55 6 0 18 Dec 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings M. Scetbon Laurent Meunier Yaniv Romano 32 10 0 28 Oct 2021
PPFS: Predictive Permutation Feature Selection Atif Hassan Jiaul H. Paik S. Khare A. H. Syed 48 20 0 20 Oct 2021
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control Jasin Machkour Michael Muma Daniel P. Palomar 57 11 0 12 Oct 2021
On Azadkia-Chatterjee's conditional dependence coefficient Hongjian Shi Mathias Drton Fang Han 37 31 0 15 Aug 2021
Forward Stability and Model Path Selection N. Kissel L. Mentch 62 13 0 05 Mar 2021
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 52 63 0 27 Jul 2020
Relative Feature Importance Gunnar Konig Christoph Molnar B. Bischl Moritz Grosse-Wentrup 37 48 0 16 Jul 2020
Double Generative Adversarial Networks for Conditional Independence Testing C. Shi Tianlin Xu Wicher P. Bergsma Lexin Li 47 26 0 03 Jun 2020
Aggregation of Multiple Knockoffs Tuan-Binh Nguyen Jérôme-Alexis Chevalier Bertrand Thirion Sylvain Arlot 36 21 0 21 Feb 2020
A Bayesian nonparametric test for conditional independence Onur Teymur Sarah Filippi 40 4 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 53 9 0 14 Oct 2019
Scalable and Efficient Hypothesis Testing with Random Forests T. Coleman Wei Peng L. Mentch 39 17 0 16 Apr 2019
Null-free False Discovery Rate Control Using Decoy Permutations Kun He Mengjie Li Yan Fu Fuzhou Gong Xiaoming Sun 37 36 0 23 Apr 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 43 286 0 19 Mar 2018
False Discovery Rate Control via Debiased Lasso Adel Javanmard Hamid Javadi 36 56 0 12 Mar 2018
A Prototype Knockoff Filter for Group Selection with FDR Control Jiajie Chen Anthony Hou T. Hou 27 9 0 11 Jun 2017
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 151 215 0 02 Jan 2008