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Learning What to Evaluate: Correlation-Aware Decoupling for Multiobjective Bayesian Optimization

arXiv:2609.32632v1 Announce Type: new Abstract: Multiobjective Bayesian optimization (MOBO) with Gaussian process (GP) surrogates is a sample efficient approach to solving multiobjective optimization problems. In MOBO, a Bayesian decision theoretic acquisition function guides the adaptive selection…

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  1. 2026-09-29 04:00 · arXiv stat.ML
    Learning What to Evaluate: Correlation-Aware Decoupling for Multiobjective Bayesian Optimization

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