conftrace_

bayesian quadrature

29 papers

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Also known as

BQ

Co-occurring keywords

numerical integration (40) gaussian process (1200) active learning (1301) kernel methods (1097) markov chain monte carlo (725) uncertainty quantification (1393) model evidence (13) bayesian optimization (624) determinantal point process (140) black-box function (31)

Papers

Fast Fourier Bayesian Quadrature AISTATS 2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024
A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
Bayesian numerical integration with neural networks UAI 2023
Multilevel Bayesian Quadrature AISTATS 2023
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination NIPS 2022
Sampling Permutations for Shapley Value Estimation JMLR 2022
Generalized Bayesian quadrature with spectral kernels UAI 2022
Marginalising over Stationary Kernels with Bayesian Quadrature AISTATS 2022
Deep Bayesian Quadrature Policy Optimization AAAI 2021
Geometric rates of convergence for kernel-based sampling algorithms UAI 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020
BINOCULARS for efficient, nonmyopic sequential experimental design ICML 2020
Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models NIPS 2020
Improving Quadrature for Constrained Integrands AISTATS 2019
Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019
Automated Model Selection with Bayesian Quadrature ICML 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods NIPS 2019
Kernel quadrature with DPPs NIPS 2019
Active Multi-Information Source Bayesian Quadrature UAI 2019
Bayesian Quadrature for Multiple Related Integrals ICML 2018
Variational Bayesian Monte Carlo NIPS 2018
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NIPS 2015