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#machine learning Preprint Sep 2026

Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization

A framework that extends standard single-objective acquisition functions directly to the multi-objective setting through a hypervolume-based transformation and extends hedge strategies for acquisition functions, which are typically used only in single-objective optimization, to the multi-objective regime is proposed.

H. Sheikh · 0 citations

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