Controlling the false discovery rate via knockoffs

22 April 2014

Emmanuel J. Candès

Papers citing "Controlling the false discovery rate via knockoffs"

50 / 53 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
Distributed model building and recursive integration for big spatial data modeling Emily C. Hector Brian J. Reich A. Eloyan 25 3 0 25 May 2023
Stepdown SLOPE for Controlled Feature Selection Jingxuan Liang H. Chen Xuelin Zhang Weifu Li Xin Tang 83 0 0 21 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 52 8 0 02 Jan 2023
Generating knockoffs via conditional independence E. Dreassi Fabrizio Leisen L. Pratelli P. Rigo UQCV 13 1 0 19 Dec 2022
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control Taejoon Ahn Licong Lin Song Mei 24 3 0 04 Nov 2022
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio' M. Schaar 39 11 0 01 Nov 2022
Model-X Sequential Testing for Conditional Independence via Testing by Betting Shalev Shaer Gal Maman Yaniv Romano 30 16 0 01 Oct 2022
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples P. Wang Min-ge Xie Linjun Zhang 40 5 0 19 Sep 2022
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery Annette Spooner Gelareh Mohammadi P. Sachdev H. Brodaty Arcot Sowmya OOD 14 8 0 05 Jul 2022
Learning to Increase the Power of Conditional Randomization Tests Shalev Shaer Yaniv Romano CML 26 2 0 03 Jul 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 26 0 0 17 May 2022
E-values as unnormalized weights in multiple testing Nikolaos Ignatiadis Ruodu Wang Aaditya Ramdas 27 23 0 26 Apr 2022
Error-based Knockoffs Inference for Controlled Feature Selection Xuebin Zhao H. Chen Yingjie Wang Weifu Li Tieliang Gong Yulong Wang Feng Zheng 36 1 0 09 Mar 2022
Variable Selection with the Knockoffs: Composite Null Hypotheses Mehrdad Pournaderi Yu Xiang 25 1 0 06 Mar 2022
Data fission: splitting a single data point James Leiner Boyan Duan Larry A. Wasserman Aaditya Ramdas 33 32 0 21 Dec 2021
High-Dimensional Knockoffs Inference for Time Series Data Chien-Ming Chi Yingying Fan C. Ing Jinchi Lv AI4TS 27 6 0 18 Dec 2021
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control Jasin Machkour Michael Muma Daniel P. Palomar 24 11 0 12 Oct 2021
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants P. H. Kassani Fred Lu Yann Le Guen Zihuai He 18 12 0 29 Sep 2021
Whiteout: when do fixed-X knockoffs fail? Xiao Li William Fithian 18 9 0 30 Jun 2021
AdaPT-GMM: Powerful and robust covariate-assisted multiple testing Patrick Chao William Fithian TTA 17 6 0 30 Jun 2021
BONuS: Multiple multivariate testing with a data-adaptivetest statistic Chiao-Yu Yang Lihua Lei Nhat Ho William Fithian 12 5 0 29 Jun 2021
Semi-supervised multiple testing D. Mary Étienne Roquain 16 14 0 25 Jun 2021
New perspectives on knockoffs construction P. Berti E. Dreassi Fabrizio Leisen L. Pratelli P. Rigo UQCV 14 4 0 15 Apr 2021
Forward Stability and Model Path Selection N. Kissel L. Mentch 34 13 0 05 Mar 2021
$Empirical Bayes cumulative $\ell$-value multiple testing procedure for sparse sequences$ Empirical Bayes cumulative $\ell$ -value multiple testing procedure for sparse sequences Kweku Abraham I. Castillo Étienne Roquain 11 6 0 01 Feb 2021
Bridging Bayesian, frequentist and fiducial (BFF) inferences using confidence distribution S. Thornton Min‐ge Xie FedML 15 11 0 08 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 22 119 0 03 Dec 2020
False discovery rate control with e-values Ruodu Wang Aaditya Ramdas 24 90 0 06 Sep 2020
Relative Feature Importance Gunnar Konig Christoph Molnar B. Bischl Moritz Grosse-Wentrup 13 48 0 16 Jul 2020
FANOK: Knockoffs in Linear Time Armin Askari Quentin Rebjock Alexandre d’Aspremont L. Ghaoui 16 4 0 15 Jun 2020
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach Christoph Molnar Gunnar Konig B. Bischl Giuseppe Casalicchio 26 77 0 08 Jun 2020
Knockoffs with Side Information Zhimei Ren Emmanuel Candès 11 20 0 22 Jan 2020
Power analysis of knockoff filters for correlated designs Jingbo Liu Philippe Rigollet 23 16 0 28 Oct 2019
Model-free Feature Screening and FDR Control with Knockoff Features Wanjun Liu Y. Ke Jingyuan Liu Runze Li 24 56 0 19 Aug 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing Zhiqi Bu Jason M. Klusowski Cynthia Rush Weijie Su 30 43 0 17 Jul 2019
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain) Mariya Toneva Leila Wehbe MILM AI4CE 31 218 0 28 May 2019
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance Giles Hooker L. Mentch Siyu Zhou 37 153 0 01 May 2019
Rejoinder: "Gene Hunting with Hidden Markov Model Knockoffs" Matteo Sesia C. Sabatti Emmanuel J. Candès 8 11 0 13 Mar 2019
Unbiased Measurement of Feature Importance in Tree-Based Methods Zhengze Zhou Giles Hooker 14 63 0 12 Mar 2019
Testing Conditional Independence in Supervised Learning Algorithms David S. Watson Marvin N. Wright CML 24 52 0 28 Jan 2019
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization Jaime Roquero Gimenez James Y. Zou 10 45 0 26 Oct 2018
Estimating minimum effect with outlier selection Alexandra Carpentier S. Delattre Étienne Roquain Nicolas Verzélen 19 9 0 21 Sep 2018
DeepPINK: reproducible feature selection in deep neural networks Yang Young Lu Yingying Fan Jinchi Lv William Stafford Noble FAtt 19 124 0 04 Sep 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 26 67 0 05 Jun 2018
Model selection with lasso-zero: adding straw to the haystack to better find needles Pascaline Descloux S. Sardy 44 10 0 14 May 2018
Null-free False Discovery Rate Control Using Decoy Permutations Kun He Mengjie Li Yan Fu Fuzhou Gong Xiaoming Sun 24 36 0 23 Apr 2018
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs Yingying Fan Emre Demirkaya Gaorong Li Jinchi Lv 23 70 0 31 Aug 2017
Distribution-free Multiple Testing E. Arias-Castro Shiyun Chen OOD 19 62 0 26 Apr 2016
Online Rules for Control of False Discovery Rate and False Discovery Exceedance Adel Javanmard Andrea Montanari 14 105 0 29 Mar 2016