{"total":16,"rows":[{"id":"2203.15589","title":"On Kernelized Multi-Armed Bandits with Constraints","created":"2022-03-29","cited_by_count":23,"area":null},{"id":"2306.07745","title":"Kernelized Reinforcement Learning with Order Optimal Regret Bounds","created":"2023-06-13","cited_by_count":20,"area":null},{"id":"2302.00392","title":"Delayed Feedback in Kernel Bandits","created":"2023-02-01","cited_by_count":10,"area":null},{"id":"2302.00727","title":"Sample Complexity of Kernel-Based Q-Learning","created":"2023-02-01","cited_by_count":8,"area":null},{"id":"2506.11831","title":"Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?","created":"2025-06-13","cited_by_count":5,"area":null},{"id":"2309.01730","title":"Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning","created":"2023-09-04","cited_by_count":4,"area":null},{"id":"2501.07046","title":"Differentially Private Kernelized Contextual Bandits","created":"2025-01-13","cited_by_count":3,"area":null},{"id":"2502.16870","title":"Distributionally Robust Active Learning for Gaussian Process Regression","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2603.12627","title":"Batched Kernelized Bandits: Refinements and Extensions","created":"2026-03-13","cited_by_count":3,"area":null},{"id":"2311.00663","title":"Variational Gaussian Processes For Linear Inverse Problems","created":"2023-11-01","cited_by_count":2,"area":null},{"id":"2310.00097","title":"Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior","created":"2023-09-29","cited_by_count":1,"area":null},{"id":"2608.16492","title":"Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization","created":"2026-08-17","cited_by_count":1,"area":null},{"id":"2402.13182","title":"Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness","created":"2024-02-20","cited_by_count":0,"area":null},{"id":"2404.06200","title":"Further Understanding of a Local Gaussian Process Approximation: Characterising Convergence in the Finite Regime","created":"2024-04-09","cited_by_count":0,"area":null},{"id":"2511.20594","title":"Variational bagging: a robust approach for Bayesian uncertainty quantification","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2604.25025","title":"A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback","created":"2026-04-27","cited_by_count":0,"area":null}],"next_cursor":null}