{"total":22,"rows":[{"id":"2202.06881","title":"Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation","created":"2022-02-14","cited_by_count":26,"area":null},{"id":"2206.04734","title":"Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination","created":"2022-06-09","cited_by_count":20,"area":null},{"id":"2311.13548","title":"Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling","created":"2023-11-22","cited_by_count":10,"area":null},{"id":"2406.16530","title":"Conditional Bayesian Quadrature","created":"2024-06-24","cited_by_count":9,"area":null},{"id":"2108.00490","title":"A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC","created":"2021-08-01","cited_by_count":8,"area":null},{"id":"2401.17037","title":"Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration","created":"2024-01-30","cited_by_count":8,"area":null},{"id":"2102.06645","title":"Bayesian Quadrature on Riemannian Data Manifolds","created":"2021-02-12","cited_by_count":5,"area":null},{"id":"2502.18284","title":"Nested Expectations with Kernel Quadrature","created":"2025-02-25","cited_by_count":5,"area":null},{"id":"2305.16527","title":"When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality","created":"2023-05-25","cited_by_count":4,"area":null},{"id":"2202.10615","title":"On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature","created":"2022-02-22","cited_by_count":3,"area":null},{"id":"2305.13248","title":"Bayesian Numerical Integration with Neural Networks","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2404.12219","title":"A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting","created":"2024-04-18","cited_by_count":3,"area":null},{"id":"2510.25240","title":"Generative Bayesian Optimization: Generative Models as Acquisition Functions","created":"2025-10-29","cited_by_count":3,"area":null},{"id":"2112.01578","title":"Invariant Priors for Bayesian Quadrature","created":"2021-12-02","cited_by_count":2,"area":null},{"id":"2401.05716","title":"Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization","created":"2024-01-11","cited_by_count":2,"area":null},{"id":"2602.16218","title":"Bayesian Quadrature","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2304.01802","title":"Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis","created":"2023-04-04","cited_by_count":0,"area":null},{"id":"2305.03340","title":"Reinforcement Learning for Control of Evolutionary and Ecological Processes","created":"2023-05-05","cited_by_count":0,"area":null},{"id":"2509.17405","title":"Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2512.16105","title":"BayesSum: Bayesian Quadrature in Discrete Spaces","created":"2025-12-18","cited_by_count":0,"area":null},{"id":"2605.05705","title":"Convex-Geometric Error Bounds for Positive-Weight Kernel Quadrature","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2607.10793","title":"Hierarchical Bayesian Quadrature","created":"2026-07-12","cited_by_count":0,"area":null}],"next_cursor":null}