Knockoffs for the mass: new feature importance statistics with false discovery guarantees

17 July 2018

Papers citing "Knockoffs for the mass: new feature importance statistics with false discovery guarantees"

12 / 12 papers shown

Title
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection Hongyu Shen Yici Yan Zhizhen Zhao 31 0 0 27 Feb 2024
Automatic Concept Embedding Model (ACEM): No train-time concepts, No issue! Rishabh Jain LRM 34 0 0 07 Sep 2023
Generating knockoffs via conditional independence E. Dreassi Fabrizio Leisen L. Pratelli P. Rigo UQCV 20 1 0 19 Dec 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 29 6 0 19 Nov 2022
Model-X Sequential Testing for Conditional Independence via Testing by Betting Shalev Shaer Gal Maman Yaniv Romano 37 17 0 01 Oct 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions V. T. Trifunov M. Shadaydeh Joachim Denzler CML BDL 29 3 0 23 Sep 2022
Learning to Increase the Power of Conditional Randomization Tests Shalev Shaer Yaniv Romano CML 31 2 0 03 Jul 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 28 0 0 17 May 2022
Normalizing Flows for Knockoff-free Controlled Feature Selection Derek Hansen Brian Manzo Jeffrey Regier OOD 35 5 0 03 Jun 2021
Knockoffs with Side Information Zhimei Ren Emmanuel Candès 21 20 0 22 Jan 2020
Discovering Conditionally Salient Features with Statistical Guarantees Jaime Roquero Gimenez James Zou CML 6 12 0 29 May 2019
Deep Knockoffs Yaniv Romano Matteo Sesia Emmanuel J. Candès BDL 18 139 0 16 Nov 2018