Results 21 to 30 of about 7,842 (187)
Hyperlink regression via Bregman divergence [PDF]
Neural Networks, 2020 41 pages, 14 ...
Akifumi Okuno, Hidetoshi Shimodaira
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Maximizing the Bregman divergence from a Bregman family [PDF]
Kybernetika, 2020 11 pages, 5 theorems, no ...
Rauh, Johannes, Matúš, František
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Comptes Rendus. Mécanique, 2023 With view on the context of convex thermomechanics, we propose tools based on the concept of Bregman divergence, a notion introduced in the 1960s and used in learning and optimization as well. This study is motivated by the need of “discrepancy measures”
Andrieux, Stéphane
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Transport information Bregman divergences [PDF]
Information Geometry, 2021 Typos are ...
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On Voronoi Diagrams on the Information-Geometric Cauchy Manifolds
Entropy, 2020 We study the Voronoi diagrams of a finite set of Cauchy distributions and their dual complexes from the viewpoint of information geometry by considering the Fisher-Rao distance, the Kullback-Leibler divergence, the chi square divergence, and a flat ...
Frank Nielsen
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An Objective Prior from a Scoring Rule
Entropy, 2021 In this paper, we introduce a novel objective prior distribution levering on the connections between information, divergence and scoring rules. In particular, we do so from the starting point of convex functions representing information in density ...
Stephen G. Walker, Cristiano Villa
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Burkholder inequality by Bregman divergence
Bulletin of the Polish Academy of Sciences Mathematics, 2022 We updated a reference, corrected constants c_p and C_p, and made small editorial changes.
Bogdan, Krzysztof, Więcek, Mateusz
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Minimax quantum state estimation under Bregman divergence [PDF]
Quantum, 2019 We investigate minimax estimators for quantum state tomography under general Bregman divergences. First, generalizing the work of Koyama et al. [Entropy 19, 618 (2017)] for relative entropy, we find that given any estimator for a quantum state, there ...
Maria Quadeer +2 more
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A Characterization of the Domain of Beta-Divergence and Its Connection to Bregman Variational Model
Entropy, 2017 In image and signal processing, the beta-divergence is well known as a similarity measure between two positive objects. However, it is unclear whether or not the distance-like structure of beta-divergence is preserved, if we extend the domain of the beta-
Hyenkyun Woo
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Hessian geometric structure of chemical thermodynamic systems with stoichiometric constraints
Physical Review Research, 2022 We establish a Hessian geometric structure in chemical thermodynamics, which describes chemical reaction networks (CRNs) with equilibrium states. In our setup, the ideal gas assumption and mass action kinetics are not required.
Yuki Sughiyama +3 more
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