acquisition function

BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021 Constrained Two-step Look-Ahead Bayesian Optimization NeurIPS 2021 Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NeurIPS 2021 High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning NeurIPS 2021 Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NeurIPS 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021 Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization NeurIPS 2021 SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios NeurIPS 2021 Top-k Ranking Bayesian Optimization AAAI 2021 Trusted-maximizers entropy search for efficient Bayesian optimization UAI 2021 Uncertainty-aware Active Learning for Optimal Bayesian Classifier ICLR 2021 Active Learning for Imbalanced Datasets WACV 2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020 Amortized Bayesian Optimization over Discrete Spaces UAI 2020 Bayesian Optimization using Pseudo-Points IJCAI 2020 BOSS: Bayesian Optimization over String Spaces NeurIPS 2020 BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NeurIPS 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020 Efficient Rollout Strategies for Bayesian Optimization UAI 2020 Experimental Design for Optimization of Orthogonal Projection Pursuit Models AAAI 2020 Knowing The What But Not The Where in Bayesian Optimization ICML 2020 Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization ICLR 2020