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The Most Robust Loss Function for Boosting

BOOK CHAPTER published 2004 in Neural Information Processing

Authors: Takafumi Kanamori | Takashi Takenouchi | Shinto Eguchi | Noboru Murata

Information Divergence Geometry and the Application to Statistical Machine Learning

BOOK CHAPTER published in Information Theory and Statistical Learning

Authors: Shinto Eguchi

Minimum information divergence of Q-functions for dynamic treatment resumes

JOURNAL ARTICLE published January 2024 in Information Geometry

Research funded by JSPS KAKENHI (18H03211)

Authors: Shinto Eguchi

Improving Logitboost with prior knowledge

JOURNAL ARTICLE published April 2013 in Information Fusion

Authors: Takafumi Kanamori | Takashi Takenouchi

Information in Neural Networks

BOOK CHAPTER published December 2002 in Information Theoretic Neural Computation

Transport information Bregman divergences

JOURNAL ARTICLE published December 2021 in Information Geometry

Authors: Wuchen Li

Spontaneous Learning for Data Distributions via Minimum Divergence

BOOK CHAPTER published 2017 in Computational Information Geometry

Authors: Shinto Eguchi | Akifumi Notsu | Osamu Komori

Spectral dimensionality reduction for Bregman information

JOURNAL ARTICLE published December 2019 in Information Geometry

Authors: Atsuya Kumagai

On the launch of the journal Information Geometry

JOURNAL ARTICLE published September 2018 in Information Geometry

Authors: Shinto Eguchi

Variational representations of annealing paths: Bregman information under monotonic embedding

JOURNAL ARTICLE published 2 February 2024 in Information Geometry

Authors: Rob Brekelmans | Frank Nielsen

$alpha$-Divergence Is Unique, Belonging to Both $f$-Divergence and Bregman Divergence Classes

JOURNAL ARTICLE published November 2009 in IEEE Transactions on Information Theory

Authors: Shun-Ichi Amari

Bisimulation and divergence

JOURNAL ARTICLE published April 1990 in Information and Computation

Authors: D.J. Walker

Functional Bregman divergence

PROCEEDINGS ARTICLE published July 2008 in 2008 IEEE International Symposium on Information Theory

Authors: Bela A. Frigyik | Santosh Srivastava | Maya R. Gupta

Publisher Correction: Variational representations of annealing paths: Bregman information under monotonic embedding

JOURNAL ARTICLE published 26 February 2024 in Information Geometry

Authors: Rob Brekelmans | Frank Nielsen

Towards a canonical divergence within information geometry

JOURNAL ARTICLE published July 2021 in Information Geometry

Authors: Domenico Felice | Nihat Ay

Counting and sampling H-colourings

JOURNAL ARTICLE published February 2004 in Information and Computation

Authors: Martin Dyer | Leslie Ann Goldberg | Mark Jerrum

Axiomatising divergence

JOURNAL ARTICLE published December 2005 in Information and Computation

Authors: Markus Lohrey | Pedro R. D’Argenio | Holger Hermanns

Multiplicative Update for Projective Nonnegative Matrix Factorization with Bregman Divergence

PROCEEDINGS ARTICLE published October 2010 in 2010 Third International Symposium on Information Processing

Authors: Jiaojiao Jiang | Haibin Zhang

Divergence, Optimization and Geometry

BOOK CHAPTER published 2009 in Neural Information Processing

Authors: Shun-ichi Amari

Generalized Bregman divergence and gradient of mutual information for vector Poisson channels

PROCEEDINGS ARTICLE published July 2013 in 2013 IEEE International Symposium on Information Theory

Authors: Liming Wang | Miguel Rodrigues | Lawrence Carin