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"

8 / 8 papers shown

Title
Automatic Concept Embedding Model (ACEM): No train-time concepts, No issue! Rishabh Jain LRM 27 0 0 07 Sep 2023
Generating knockoffs via conditional independence E. Dreassi Fabrizio Leisen L. Pratelli P. Rigo UQCV 13 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 24 6 0 19 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
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
Normalizing Flows for Knockoff-free Controlled Feature Selection Derek Hansen Brian Manzo Jeffrey Regier OOD 27 5 0 03 Jun 2021
Knockoffs with Side Information Zhimei Ren Emmanuel Candès 11 20 0 22 Jan 2020