Bayesian Optimization

Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits NeurIPS 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 Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm NeurIPS 2022 SnAKe: Bayesian Optimization with Pathwise Exploration NeurIPS 2022 Supervising the Multi-Fidelity Race of Hyperparameter Configurations NeurIPS 2022 Triangulation candidates for Bayesian optimization NeurIPS 2022 When Combinatorial Thompson Sampling meets Approximation Regret NeurIPS 2022 Adaptive Experimental Design for Optimizing Combinatorial Structures IJCAI 2021 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks NeurIPS 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021 High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021 Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification EMNLP 2021 Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020 Black-Box Optimization with Local Generative Surrogates NeurIPS 2020 BOSS: Bayesian Optimization over String Spaces NeurIPS 2020 Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NeurIPS 2020 Experimental Design for Optimization of Orthogonal Projection Pursuit Models AAAI 2020 Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards NeurIPS 2020 Knowing The What But Not The Where in Bayesian Optimization ICML 2020