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Bregman divergence as general framework to estimate unnormalized
  statistical models

Bregman divergence as general framework to estimate unnormalized statistical models

14 February 2012
Michael U. Gutmann
J. Hirayama
ArXivPDFHTML

Papers citing "Bregman divergence as general framework to estimate unnormalized statistical models"

4 / 4 papers shown
Title
Your copula is a classifier in disguise: classification-based copula density estimation
Your copula is a classifier in disguise: classification-based copula density estimation
David Huk
Mark Steel
Ritabrata Dutta
173
0
0
05 Nov 2024
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Masatoshi Uehara
Issei Sato
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
GAN
83
104
0
10 Oct 2016
Interpretation and Generalization of Score Matching
Interpretation and Generalization of Score Matching
Siwei Lyu
100
149
0
09 May 2012
A Family of Computationally Efficient and Simple Estimators for
  Unnormalized Statistical Models
A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models
Miika Pihlaja
Michael U. Gutmann
Aapo Hyvarinen
74
44
0
15 Mar 2012
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