On a Cornerstone of Bare-Simulation Distance/Divergence Optimization
Broniatowski M, Stummer W (2023)
Publication Type: Conference contribution
Publication year: 2023
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 14071 LNCS
Pages Range: 105-116
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: St. Malo, FRA
ISBN: 9783031382703
DOI: 10.1007/978-3-031-38271-0_11
Abstract
In information theory—as well as in the adjacent fields of statistics, geometry, machine learning and artificial intelligence—it is important to solve high-dimensional optimization problems on directed distances (divergences), under very non-restrictive (e.g. non-convex) constraints. Such a task can be comfortably achieved by the new dimension-free bare (pure) simulation method of [6, 7]. In the present paper, we give some new insightful details on one cornerstone of this approach.
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France (FR)How to cite
APA:
Broniatowski, M., & Stummer, W. (2023). On a Cornerstone of Bare-Simulation Distance/Divergence Optimization. In Frank Nielsen, Frédéric Barbaresco (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 105-116). St. Malo, FRA: Springer Science and Business Media Deutschland GmbH.
MLA:
Broniatowski, Michel, and Wolfgang Stummer. "On a Cornerstone of Bare-Simulation Distance/Divergence Optimization." Proceedings of the The 6th International Conference on Geometric Science of Information, GSI 2023, St. Malo, FRA Ed. Frank Nielsen, Frédéric Barbaresco, Springer Science and Business Media Deutschland GmbH, 2023. 105-116.
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