Search Results for author: Matias Altamirano

Found 2 papers, 1 papers with code

Robust and Conjugate Gaussian Process Regression

no code implementations1 Nov 2023 Matias Altamirano, François-Xavier Briol, Jeremias Knoblauch

To enable closed form conditioning, a common assumption in Gaussian process (GP) regression is independent and identically distributed Gaussian observation noise.

Bayesian Inference Bayesian Optimisation +3

Robust and Scalable Bayesian Online Changepoint Detection

1 code implementation9 Feb 2023 Matias Altamirano, François-Xavier Briol, Jeremias Knoblauch

This paper proposes an online, provably robust, and scalable Bayesian approach for changepoint detection.

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