Python implementation for MESMOC the paper "Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints".

Bayesian optimization for Python

Bayesian Optimization using active learning to query black box functions with unknown constraints. Completed as part of ETH Zurich Probabilistic AI class.

Constraint Preserving Score with Bayesian Optimization to find the best bisualization of Dimensionality Reduction methods

Implementation of Failures-aware excursion search (XSF) algorithm | Bayesian optimization with unknown constraints using excursion sets

Python implementation for USeMOC paper "Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization with Constraints".

[ICML 2024] Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints