Deep Direct Likelihood Knockoffs

31 July 2020

Papers citing "Deep Direct Likelihood Knockoffs"

12 / 12 papers shown

Title
Explanations that reveal all through the definition of encoding A. Puli Nhi Nguyen Rajesh Ranganath FAtt XAI 110 2 0 04 Nov 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection Hongyu Shen Yici Yan Zhizhen Zhao 83 0 0 27 Feb 2024
DeepROCK: Error-controlled interaction detection in deep neural networks Winston Chen William Stafford Noble Y. Lu 80 1 0 26 Sep 2023
A dynamic risk score for early prediction of cardiogenic shock using machine learning Yuxuan Hu Albert Y Lui M. Goldstein Mukund Sudarshan Andrea Tinsay ... G. Fishman J. Hochman S. Katz S. Bernard Rajesh Ranganath 61 2 0 22 Mar 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 141 5 0 27 Jan 2023
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio M. Schaar 94 12 0 01 Nov 2022
Conditional Feature Importance for Mixed Data Kristin Blesch David S. Watson Marvin N. Wright 103 7 0 06 Oct 2022
Survival Mixture Density Networks Xintian Han Mark Goldstein Rajesh Ranganath 89 6 0 23 Aug 2022
DIET: Conditional independence testing with marginal dependence measures of residual information Mukund Sudarshan A. Puli Wesley Tansey Rajesh Ranganath 68 2 0 18 Aug 2022
Learning to Increase the Power of Conditional Randomization Tests Shalev Shaer Yaniv Romano CML 115 2 0 03 Jul 2022
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling Shoaib Bin Masud Matthew Werenski James M. Murphy Shuchin Aeron OT 67 9 0 29 Oct 2021
Normalizing Flows for Knockoff-free Controlled Feature Selection Derek Hansen Brian Manzo Jeffrey Regier OOD 92 6 0 03 Jun 2021