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Converge Then Diversify: Decoupling Convergence and Diversity in Multi-Objective Bayesian Optimisation
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Bayesian OptimizationMulti-Objective OptimizationConvergenceDiversity
2609.13396
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2h ago80%
Abstract
This paper introduces a converge-then-diversify approach for optimizing multi-objective functions, improving efficiency under tight budgets.
Reality Card
Core Claim
The converge-then-diversify (CTD) approach statistically outperforms state-of-the-art methods in 72.9% of cases, particularly under tight evaluation budgets.
Method / Result
CTD outperformed existing methods in 72.9% of 446 pairwise comparisons.
Limitations
The paper does not specify the authors or provide detailed experimental setups, which may hinder reproducibility.
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