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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"

10 / 10 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
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
29
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
184
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
28
4
0
02 Dec 2016
1