A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
- Updated
- Python
![]() |
VOOZH | about |
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
(NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
A toolbox for the calibration and evaluation of simulation models.
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
Is there anything we can't make Bayesian?
Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
An implementation of Bayesian Quadrature based on GPytorch
Code for the manuscript "A probabilistic diagnostic for Laplace approximations: Introduction and experimentation"
Sigma-Point Filters based on Bayesian Quadrature
Add a description, image, and links to the bayesian-quadrature topic page so that developers can more easily learn about it.
To associate your repository with the bayesian-quadrature topic, visit your repo's landing page and select "manage topics."