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"

9 / 9 papers shown

Title
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 51 288 0 19 Mar 2018
Interpretation of Neural Networks is Fragile Amirata Ghorbani Abubakar Abid James Zou FAtt AAML 131 866 0 29 Oct 2017
Gene Hunting with Knockoffs for Hidden Markov Models Matteo Sesia C. Sabatti Emmanuel J. Candès 38 136 0 14 Jun 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 185 5,986 0 04 Mar 2017
Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection E. Candès Yingying Fan Lucas Janson Jinchi Lv 120 385 0 07 Oct 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 180 3,699 0 10 Jun 2016
Controlling the false discovery rate via knockoffs Rina Foygel Barber Emmanuel J. Candès 221 750 0 22 Apr 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,292 0 20 Dec 2013
How to Explain Individual Classification Decisions D. Baehrens T. Schroeter Stefan Harmeling M. Kawanabe K. Hansen K. Müller FAtt 130 1,103 0 06 Dec 2009