Minimum Divergence Methods in Statistical Machine Learning

DOI10.1007/978-4-431-56922-0OpenAlexW4226293514MaRDI QIDQ5862723

Shinto Eguchi, Osamu Komori

Publication date: 9 March 2022

Full work available at URL: https://doi.org/10.1007/978-4-431-56922-0

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Learning and adaptive systems in artificial intelligence (68T05) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Statistical aspects of information-theoretic topics (62B10) Neural nets and related approaches to inference from stochastic processes (62M45) Nonparametric inference (62Gxx) Information geometry (statistical aspects) (62B11)

Related Items (5)

Active learning by query by committee with robust divergences ⋮ Half a century of information geometry, part 1 ⋮ Minimum information divergence of Q-functions for dynamic treatment resumes ⋮ Conformal mirror descent with logarithmic divergences ⋮ Geometry of parametric binary choice models

This page was built for publication: Minimum Divergence Methods in Statistical Machine Learning