research
∙
07/14/2023
Comparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum Likelihood
Gaussian process (GP) regression is a Bayesian nonparametric method for ...
share
research
∙
12/03/2021
ProbNum: Probabilistic Numerics in Python
Probabilistic numerical methods (PNMs) solve numerical problems via prob...
research
∙
12/02/2021
Invariant Priors for Bayesian Quadrature
Bayesian quadrature (BQ) is a model-based numerical integration method t...
research
∙
10/25/2021
Emulation of physical processes with Emukit
Decision making in uncertain scenarios is an ubiquitous challenge in rea...
research
∙
07/17/2020
A Fourier State Space Model for Bayesian ODE Filters
Gaussian ODE filtering is a probabilistic numerical method to solve ordi...
research
∙
03/27/2019
Active Multi-Information Source Bayesian Quadrature
Bayesian quadrature (BQ) is a sample-efficient probabilistic numerical m...
research
∙
03/29/2017
Probabilistic Line Searches for Stochastic Optimization
In deterministic optimization, line searches are a standard tool ensurin...
research
∙
03/28/2017