https://openreview.net/forum?id=XvmooikuHE
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization |...
Hypervolume improvement (HVI) is commonly employed in multi-objective Bayesian optimization algorithms to define acquisition functions due to its...
probability distributionhypervolumeimprovementobjectivebayesian
https://openreview.net/forum?id=A7pvvrlv68
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement |...
We propose a scalable method for parallel multi-objective Bayesian optimization with noisy observations and demonstrate that it achieves state-of-the...
bayesian optimizationparallelmultiple
https://openreview.net/forum?id=30NS22tgCW
Optimal Scalarizations for Sublinear Hypervolume Regret | OpenReview
Scalarization is a general, parallizable technique that can be deployed in any multiobjective setting to reduce multiple objectives into one, yet some have...
optimalsublinearhypervolumeregretopenreview
https://openreview.net/forum?id=fSa5IjNMmmi
Multi-objective optimization via equivariant deep hypervolume approximation | OpenReview
Hypervolume approximation using permutation invariant, scaling equivariant neural network
multi objective optimizationviaequivariantdeephypervolume