Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
–Neural Information Processing Systems
Bayesian optimization (MOBO) is a sample-efficient approach for identifying the optimal trade-offs between the objectives.
Neural Information Processing Systems
Oct-2-2025, 10:19:33 GMT
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