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Robust Variational Gaussian Process Regression for Count Data with the Trimmed Marginal Likelihood

Published Online: 2026-05-14

Published Print: 2026-08

Authors

Andrade, Daniel
Funding

Funding for this research was provided by:

Hiroshima University

Japan Society for the Promotion of Science (JP22K11934)
License Information

Text and Data Mining valid from 2026-05-14

Version of Record valid from 2026-05-14
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Article History

Received: 12 July 2025

Accepted: 26 April 2026

First Online: 14 May 2026

Declarations

:

: The author has no relevant financial or non-financial interests to disclose.

: The authors declare no competing interests.

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