black-box function

Collaborative Bayesian Optimization with Fair Regret ICML 2021 Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NeurIPS 2021 Scalable Constrained Bayesian Optimization AISTATS 2021 Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework AAAI 2020 Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NeurIPS 2020 Active Change-Point Detection ACML 2019 Active Multi-Information Source Bayesian Quadrature UAI 2019 Neural network gradient-based learning of black-box function interfaces ICLR 2019 Bayesian Optimization of Combinatorial Structures ICML 2018 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017 A Strategy for Ranking Optimization Methods using Multiple Criteria AutoML 2016 Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NeurIPS 2016 Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NeurIPS 2015 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NeurIPS 2014