Optimum Self-Random Number Generation Rate and Its Application to the Rate-Distortion-Perception-Problem
Abstract
In this paper, we consider the rate-distortion-perception (RDP) problem with respect to $f$-divergences from the viewpoint of information-theoretic random number generation. First, we address the self-random number generation problem, which is a subproblem of the RDP problem, and derive the general formula for the optimum achievable rate. Then, we apply our findings to the RDP problem.
Cite
Text
Nomura. "Optimum Self-Random Number Generation Rate and Its Application to the Rate-Distortion-Perception-Problem." NeurIPS 2023 Workshops: InfoCog, 2023.Markdown
[Nomura. "Optimum Self-Random Number Generation Rate and Its Application to the Rate-Distortion-Perception-Problem." NeurIPS 2023 Workshops: InfoCog, 2023.](https://mlanthology.org/neuripsw/2023/nomura2023neuripsw-optimum/)BibTeX
@inproceedings{nomura2023neuripsw-optimum,
title = {{Optimum Self-Random Number Generation Rate and Its Application to the Rate-Distortion-Perception-Problem}},
author = {Nomura, Ryo},
booktitle = {NeurIPS 2023 Workshops: InfoCog},
year = {2023},
url = {https://mlanthology.org/neuripsw/2023/nomura2023neuripsw-optimum/}
}