, Robust independent component analysis via minimum gamma-divergence estimation, IEEE J of Selected Topics in Signal Proc, 2013

, Nonparametric Information Geometry: From Divergence Function to Referential-Representational Biduality on Statistical Manifolds, Entropy, 2013

, Robust Spatial Filtering with Beta Divergence, NIPS, 2013

, A Bregman Extension of quasi-Newton updates I: An Information Geometrical framework, J Optim Methods & Software, 2013

, A Bregman Extension of quasi-Newton updates II: Analysis of robustness properties, J Comp and Appl Math, 2013

, Optimizing spatial filters by minimizing within-class dissimilarities in electroencephalogram based brain-computer interface, IEEE Trans Neural Netw Learn Syst, 2013

, Harmonic mean of kullback-leibler divergences for optimizing multi-class eeg spatio-temporal filters, Neural Proc Let, 2012

, Algorithms for nonnegative matrix factorization with the β-divergence, Neural Comp, 2011

, An information geometrical view of stationary subspace analysis, ICANN, 2011

, Total Bregman divergence and its applications to shape retrieval, IEEE CVPR, 2010

, Families of alpha- beta- and gamma- divergences: Flexible and robust measures of similarities, Entropy, 2010

, Information geometry of divergence functions, Bulletin of the Polish Academy of Sciences, 2010

, Robust extraction of local structures by the minimum beta-divergence method, Neural Networks, 2010

, Entropy and divergence associated with power function and the statistical application, Entropy, 2010

, Divergence, Optimization and Geometry, Neural Inf Proc, LNCS, 2009

, Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering, NIPS, 2009

, Finding Stationary Subspaces in Multivariate Time Series, Phys Rev Let, 2009

, Bregman Divergences and Surrogates for Learning, IEEE PAMI, 2009

, Robust kernel principal component analysis, Neural Comp, 2009

, Functional Bregman Divergence and Bayesian Estimation of Distributions, IEEE Trans Information Theory, 2008

, Information-theoretic metric learning, ICML, 2007

, Exploring latent structure of mixture ICA models by the minimum beta-divergence method, Neural Comp, 2006

, Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma, J Multivariate Analysis, 2006

, Learning a Mahalanobis metric from equivalence constraints, J Mach Learn Res, 2005

, Clustering with Bregman divergences, J Mach Learn Res, 2005

, Robust principal component analysis with adaptive selection for tuning parameters, J Mach Learn Res, 2004

, Information geometry of u-boost and bregman divergence, Neural Comp, 2004

, Robust blind source separation by beta divergence, Neural Comp, 2002

, Distance metric learning, with application to clustering with side-information, NIPS, 2002

, Methods of information geometry, American Mathematical Society, 2000

Computational Information Geometry Wonderland

Upcoming conferences in algebraic geometry

Information Geometry and Its Applications (Talk)

Information Geometry: Duality, Convexity and Divergences (Talk)

Information-theoretic metric learning (Talk)