{"total":19,"rows":[{"id":"2111.05008","title":"Misspecified Gaussian Process Bandit Optimization","created":"2021-11-09","cited_by_count":55,"area":null},{"id":"2108.09262","title":"Optimal Order Simple Regret for Gaussian Process Bandits","created":"2021-08-20","cited_by_count":54,"area":null},{"id":"2107.03144","title":"Neural Contextual Bandits without Regret","created":"2021-07-07","cited_by_count":40,"area":null},{"id":"2305.15572","title":"The Behavior and Convergence of Local Bayesian Optimization","created":"2023-05-24","cited_by_count":20,"area":null},{"id":"2502.06363","title":"Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance","created":"2025-02-10","cited_by_count":15,"area":null},{"id":"2506.01393","title":"Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization","created":"2025-06-02","cited_by_count":13,"area":null},{"id":"2102.05793","title":"Lenient Regret and Good-Action Identification in Gaussian Process Bandits","created":"2021-02-11","cited_by_count":12,"area":null},{"id":"2502.19006","title":"Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits","created":"2025-02-26","cited_by_count":9,"area":null},{"id":"2209.09655","title":"Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization","created":"2022-09-20","cited_by_count":7,"area":null},{"id":"2409.00979","title":"Regret Analysis for Randomized Gaussian Process Upper Confidence Bound","created":"2024-09-02","cited_by_count":4,"area":null},{"id":"2507.09828","title":"Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization","created":"2025-07-13","cited_by_count":4,"area":null},{"id":"2603.09276","title":"On Regret Bounds of Thompson Sampling for Bayesian Optimization","created":"2026-03-10","cited_by_count":3,"area":null},{"id":"2306.06844","title":"Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation","created":"2023-06-12","cited_by_count":2,"area":null},{"id":"2502.01226","title":"Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2603.01470","title":"Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds","created":"2026-03-02","cited_by_count":2,"area":null},{"id":"2506.16316","title":"Bayesian Optimization over Bounded Domains with the Beta Product Kernel","created":"2025-06-19","cited_by_count":1,"area":null},{"id":"2605.10299","title":"Nearly-Optimal Algorithm for Adversarial Kernelized Bandits","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2109.00617","title":"LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces","created":"2021-09-01","cited_by_count":0,"area":null},{"id":"2307.09379","title":"Generalization within in silico screening","created":"2023-07-18","cited_by_count":0,"area":null}],"next_cursor":null}