Variational Information Maximization for Feature Selection

9 June 2016

Papers citing "Variational Information Maximization for Feature Selection"

11 / 11 papers shown

Title
Mutual Information Preserving Neural Network Pruning Charles Westphal Stephen Hailes Mirco Musolesi 121 1 0 31 Oct 2024
Improving Mutual Information based Feature Selection by Boosting Unique Relevance Shiyu Liu Mehul Motani 62 5 0 09 Dec 2022
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 100 67 0 04 Aug 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 103 73 0 24 Jun 2020
Discovery and Separation of Features for Invariant Representation Learning Ayush Jaiswal Rob Brekelmans Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Premkumar Natarajan CML OOD 57 11 0 02 Dec 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 100 53 0 26 Dec 2018
Feature Selection Based on Unique Relevant Information for Health Data Shiyu Liu Mehul Motani 31 9 0 02 Dec 2018
Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach S. Garg Irina Rish Guillermo Cecchi Palash Goyal Sarik Ghazarian Shuyang Gao Greg Ver Steeg Aram Galstyan 70 0 0 26 Apr 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 186 576 0 21 Feb 2018
Kernelized Hashcode Representations for Relation Extraction S. Garg Aram Galstyan Greg Ver Steeg Irina Rish Guillermo Cecchi Shuyang Gao 79 1 0 10 Nov 2017
Higher Order Mutual Information Approximation for Feature Selection Jilin Wu Soumyajit Gupta Minh Nguyen 30 4 0 02 Dec 2016