Soft Guessing Under Logarithmic Loss Allowing Errors and Variable-Length Source Coding

Fuente: arXiv
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Autores principales: Saito, Shota, Joudeh, Hamdi
Formato: Preprint
Publicado: 2025
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author Saito, Shota
Joudeh, Hamdi
author_facet Saito, Shota
Joudeh, Hamdi
contents This paper considers the problem of soft guessing under a logarithmic loss distortion measure while allowing errors. We find an optimal guessing strategy, and derive single-shot upper and lower bounds for the minimal guessing moments as well as an asymptotic expansion for i.i.d. sources. These results are extended to the case where side information is available to the guesser. Furthermore, a connection between soft guessing allowing errors and variable-length lossy source coding under logarithmic loss is demonstrated. The Rényi entropy, the smooth Rényi entropy, and their conditional versions play an important role.
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id arxiv_https___arxiv_org_abs_2510_09015
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Soft Guessing Under Logarithmic Loss Allowing Errors and Variable-Length Source Coding
Saito, Shota
Joudeh, Hamdi
Information Theory
This paper considers the problem of soft guessing under a logarithmic loss distortion measure while allowing errors. We find an optimal guessing strategy, and derive single-shot upper and lower bounds for the minimal guessing moments as well as an asymptotic expansion for i.i.d. sources. These results are extended to the case where side information is available to the guesser. Furthermore, a connection between soft guessing allowing errors and variable-length lossy source coding under logarithmic loss is demonstrated. The Rényi entropy, the smooth Rényi entropy, and their conditional versions play an important role.
title Soft Guessing Under Logarithmic Loss Allowing Errors and Variable-Length Source Coding
topic Information Theory
url https://arxiv.org/abs/2510.09015