black-box function

Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems UAI 2026 Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants AISTATS 2025 Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization UAI 2025 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024 A General Framework for User-Guided Bayesian Optimization ICLR 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NeurIPS 2024 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NeurIPS 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Learning relevant contextual variables within Bayesian optimization UAI 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes NeurIPS 2024 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023 Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023 Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023 Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 Combinatorial Bayesian optimization with random mapping functions to convex polytopes UAI 2022 Combining Constraint Solving and Bayesian Techniques for System Optimization IJCAI 2022 Global Optimization Networks ICML 2022 Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NeurIPS 2022 Active Learning for Distributionally Robust Level-Set Estimation ICML 2021