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Variational Information Maximization for Feature Selection

Variational Information Maximization for Feature Selection

9 June 2016
Shuyang Gao
Greg Ver Steeg
Aram Galstyan
ArXiv (abs)PDFHTML

Papers citing "Variational Information Maximization for Feature Selection"

11 / 11 papers shown
Title
Mutual Information Preserving Neural Network Pruning
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
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 ?
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
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
Discovery and Separation of Features for Invariant Representation Learning
Ayush Jaiswal
Rob Brekelmans
Daniel Moyer
Greg Ver Steeg
Wael AbdAlmageed
Premkumar Natarajan
CMLOOD
57
11
0
02 Dec 2019
Uncertainty Autoencoders: Learning Compressed Representations via
  Variational Information Maximization
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
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
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
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen
Le Song
Martin J. Wainwright
Michael I. Jordan
MLTFAtt
186
576
0
21 Feb 2018
Kernelized Hashcode Representations for Relation Extraction
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
Higher Order Mutual Information Approximation for Feature Selection
Jilin Wu
Soumyajit Gupta
Minh Nguyen
30
4
0
02 Dec 2016
1