bayesian quadrature

Hierarchical Bayesian Quadrature UAI 2026 Spectral Conformal Risk Control: Distribution-Free Tail Guarantees via Bayesian Quadrature CVPR 2026 Conformal Prediction as Bayesian Quadrature ICML 2025 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 Conditional Bayesian Quadrature UAI 2024 Fast Fourier Bayesian Quadrature AISTATS 2024 Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control ICLR 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Bayesian numerical integration with neural networks UAI 2023 Multilevel Bayesian Quadrature AISTATS 2023 Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination NeurIPS 2022 Generalized Bayesian quadrature with spectral kernels UAI 2022 Marginalising over Stationary Kernels with Bayesian Quadrature AISTATS 2022 Sampling Permutations for Shapley Value Estimation JMLR 2022 Bayesian Quadrature on Riemannian Data Manifolds ICML 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021 Geometric rates of convergence for kernel-based sampling algorithms UAI 2021 Bayesian Probabilistic Numerical Integration with Tree-Based Models NeurIPS 2020 BINOCULARS for efficient, nonmyopic sequential experimental design ICML 2020 Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020 Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020 Active Multi-Information Source Bayesian Quadrature UAI 2019 Automated Model Selection with Bayesian Quadrature ICML 2019 Convergence Guarantees for Adaptive Bayesian Quadrature Methods NeurIPS 2019 Improving Quadrature for Constrained Integrands AISTATS 2019