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multi-objective Bayesian optimization

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papersTODAY 04:00 UTC

arXiv Paper Decouples Convergence and Diversity in Multi-Objective Bayesian Optimization

A new arXiv preprint introduces a method for multi-objective Bayesian optimization that treats the search for convergence toward the Pareto front and the search for diverse coverage separately. The approach aims to improve how well expensive black-box problems with multiple objectives are approximated under tight sample budgets. The work is theoretical and benchmark-oriented, with no released product or model attached.

research/bayesian-optimization/arxiv/benchmarks