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Research questionHow can Bayesian optimization respect permutation symmetry in unordered groups of decision variables?Bayesian optimization can waste modeling capacity when a surrogate treats equivalent permutations as different inputs. The challenge is to encode the underlying set structure while retaining useful information from other decision variables.
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Latest papersRecent research connected to this question, newest first.Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage ApplicationsThe source applies permutation-invariant Gaussian-process and learned-surrogate approaches to injector and producer well placement in carbon capture and storage simulations. Its evidence covers synthetic use cases and a Johansen formation case study, rather than all unordered-variable optimization settings.research paper · Sep 4, 2026
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