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I. Ryzhov

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#machine learning Preprint Oct 2026

Fully sequential Gaussian process regression for preference learning

We study continuous global optimization problems in which the objective function cannot be directly evaluated; rather, we observe only which of two selected design points appears to perform better, subject to noise. Such comparisons complicate the use of Gaussian process regression because they yield non-Gaussian poste...

I. Ryzhov · 0 citations