Bayesian Optimization

Human-AI Collaborative Bayesian Optimisation NeurIPS 2022 Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NeurIPS 2022 Joint Entropy Search For Maximally-Informed Bayesian Optimization NeurIPS 2022 Joint Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2022 Local Bayesian optimization via maximizing probability of descent NeurIPS 2022 Local Latent Space Bayesian Optimization over Structured Inputs NeurIPS 2022 Modeling the Machine Learning Multiverse NeurIPS 2022 Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NeurIPS 2022 Movement Penalized Bayesian Optimization with Application to Wind Energy Systems NeurIPS 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization NeurIPS 2022 Pareto Set Learning for Expensive Multi-Objective Optimization NeurIPS 2022 Regret Bounds for Information-Directed Reinforcement Learning NeurIPS 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning ICLR 2022 Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound ICML 2022 SIXO: Smoothing Inference with Twisted Objectives NeurIPS 2022 SnAKe: Bayesian Optimization with Pathwise Exploration NeurIPS 2022 Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NeurIPS 2022 Top Two Algorithms Revisited NeurIPS 2022 Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces NeurIPS 2022 Triangulation candidates for Bayesian optimization NeurIPS 2022 A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021 Active Offline Policy Selection NeurIPS 2021 Adaptive Experimental Design for Optimizing Combinatorial Structures IJCAI 2021 An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly ICLR 2021