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Disambiguation of "Sugiyama, Masashi"

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Geometry-aware stationary subspace analysis.

, , and . ACML, volume 63 of JMLR Workshop and Conference Proceedings, page 430-444. JMLR.org, (2016)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Masashi Urabe

Akane Sugiyama

Masashi Egawa

Masashi Haneda

 

Other publications of authors with the same name

Active Learning with Model Selection in Linear Regression., and . SDM, page 518-529. SIAM, (2008)nu-support vector machine as conditional value-at-risk minimization., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 1056-1063. ACM, (2008)Mutual information approximation via maximum likelihood estimation of density ratio., , and . ISIT, page 463-467. IEEE, (2009)Learning Discrete Representations via Information Maximizing Self-Augmented Training., , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1558-1567. PMLR, (2017)Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios., , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 204-212. PMLR, (2017)Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence., , , , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 669-677. JMLR.org, (2014)Density Ratio Estimation: A New Versatile Tool for Machine Learning.. ACML, volume 5828 of Lecture Notes in Computer Science, page 6-9. Springer, (2009)On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution., , and . ICML, page 497-504. Omnipress, (2011)A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast., , and . CoRR, (2020)Pool-based active learning in approximate linear regression., and . Mach. Learn., 75 (3): 249-274 (2009)