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The Information Sieve
v1v2v3 (latest)

The Information Sieve

International Conference on Machine Learning (ICML), 2015
8 July 2015
Greg Ver Steeg
Aram Galstyan
ArXiv (abs)PDFHTML

Papers citing "The Information Sieve"

11 / 11 papers shown
Learning Structured Latent Factors from Dependent Data:A Generative
  Model Framework from Information-Theoretic Perspective
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang Zhang
Masanori Koyama
Katsuhiko Ishiguro
CML
272
7
0
21 Jul 2020
The Design of Global Correlation Quantifiers and Continuous Notions of
  Statistical Sufficiency
The Design of Global Correlation Quantifiers and Continuous Notions of Statistical Sufficiency
Nicholas Carrara
Kevin Vanslette
444
5
0
10 Jul 2019
Understanding Behavior of Clinical Models under Domain Shifts
Understanding Behavior of Clinical Models under Domain Shifts
Jayaraman J. Thiagarajan
Deepta Rajan
P. Sattigeri
OODAI4CE
271
3
0
20 Sep 2018
Multivariate Extension of Matrix-based Renyi's α-order Entropy
  Functional
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional
Shujian Yu
L. S. Giraldo
Robert Jenssen
José C. Príncipe
340
32
0
23 Aug 2018
Unsupervised Learning via Total Correlation Explanation
Unsupervised Learning via Total Correlation Explanation
Greg Ver Steeg
SSLDRLLRM
211
19
0
27 Jun 2017
Fast structure learning with modular regularization
Fast structure learning with modular regularization
Greg Ver Steeg
Hrayr Harutyunyan
Daniel Moyer
Aram Galstyan
385
6
0
11 Jun 2017
Nonparanormal Information Estimation
Nonparanormal Information EstimationInternational Conference on Machine Learning (ICML), 2017
Shashank Singh
Barnabás Póczós
357
21
0
24 Feb 2017
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Weihao Gao
Sewoong Oh
Pramod Viswanath
217
33
0
07 Sep 2016
Sifting Common Information from Many Variables
Sifting Common Information from Many VariablesInternational Joint Conference on Artificial Intelligence (IJCAI), 2016
Greg Ver Steeg
Shuyang Gao
Kyle Reing
Aram Galstyan
365
8
0
07 Jun 2016
Demystifying Fixed k-Nearest Neighbor Information Estimators
Demystifying Fixed k-Nearest Neighbor Information Estimators
Weihao Gao
Sewoong Oh
Pramod Viswanath
273
150
0
11 Apr 2016
PCANet: An energy perspective
PCANet: An energy perspective
Jiasong Wu
Shijie Qiu
Youyong Kong
Longyu Jiang
L. Senhadji
H. Shu
261
19
0
03 Mar 2016
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