knowledge gradient

SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models EMNLP 2025 Bayesian Optimization of Function Networks with Partial Evaluations ICML 2024 Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023 Improving the Knowledge Gradient Algorithm NeurIPS 2023 Generalizing Bayesian Optimization with Decision-theoretic Entropies NeurIPS 2022 On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022 Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020 Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning UAI 2019 Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019 Bayesian Optimization with Gradients NeurIPS 2017 A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing JMLR 2016 The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks ICML 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NeurIPS 2016 Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NeurIPS 2013 Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing ICML 2013 Hierarchical Knowledge Gradient for Sequential Sampling JMLR 2011