The Fisher-Rao loss for learning under label noise

DOI10.1007/s41884-022-00076-8arXiv2210.16401OpenAlexW4312057594MaRDI QIDQ6170222

Fábio C. C. Meneghetti, Henrique K. Miyamoto, Sueli I. R. Costa

Publication date: 12 July 2023

Published in: Information Geometry (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2210.16401

zbMATH Keywords

classificationneural networksinformation geometryloss functionslabel noiseFisher-Rao distance

Mathematics Subject Classification ID

Statistical distribution theory (62Exx)

Cites Work

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• Fisher information distance: a geometrical reading
• A shape distance based on the Fisher-Rao metric and its application for shapes clustering
• Information geometry and sufficient statistics
• Geometric Modeling in Probability and Statistics
• Deep Learning Architectures
• Introduction to nonparametric estimation

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