bayesian optimization

Gaussian Process Bandits with Aggregated Feedback AAAI 2022 Generalizing Bayesian Optimization with Decision-theoretic Entropies NeurIPS 2022 GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation CoRL 2022 Human-AI Collaborative Bayesian Optimisation NeurIPS 2022 Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NeurIPS 2022 Information-Theoretic Safe Exploration with Gaussian Processes NeurIPS 2022 Joint Entropy Search For Maximally-Informed Bayesian Optimization NeurIPS 2022 Joint Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2022 LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AutoML 2022 Local Bayesian optimization via maximizing probability of descent NeurIPS 2022 Local Latent Space Bayesian Optimization over Structured Inputs NeurIPS 2022 Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022 Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022 Meta-Learning Priors for Safe Bayesian Optimization CoRL 2022 Monte Carlo Tree Descent for Black-Box Optimization 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 Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022 NOMU: Neural Optimization-based Model Uncertainty ICML 2022 On provably robust meta-Bayesian optimization UAI 2022 On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022 On the Value of Prior in Online Learning to Rank AISTATS 2022 Para-CFlows: C^k-universal diffeomorphism approximators as superior neural surrogates NeurIPS 2022 Pareto Set Learning for Expensive Multi-Objective Optimization NeurIPS 2022 Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes AISTATS 2022