numerical integration

Convergence Guarantees for Adaptive Bayesian Quadrature Methods NeurIPS 2019 A Bayes-Sard Cubature Method NeurIPS 2018 Bayesian Quadrature for Multiple Related Integrals ICML 2018 Quadrature-based features for kernel approximation NeurIPS 2018 On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions JMLR 2017 On the Sampling Problem for Kernel Quadrature ICML 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Control Functionals for Quasi-Monte Carlo Integration AISTATS 2016 Convergence guarantees for kernel-based quadrature rules in misspecified settings NeurIPS 2016 Probabilistic Linear Multistep Methods NeurIPS 2016 Stochastic Discrete Clenshaw-Curtis Quadrature ICML 2016 Exponential Integration for Hamiltonian Monte Carlo ICML 2015 Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NeurIPS 2015 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 Bayesian Quadrature for Ratios AISTATS 2012