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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 ...
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ProbNum: Probabilistic Numerics in Python
Probabilistic numerical methods (PNMs) solve numerical problems via prob...
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Invariant Priors for Bayesian Quadrature
Bayesian quadrature (BQ) is a model-based numerical integration method t...
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Emulation of physical processes with Emukit
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A Fourier State Space Model for Bayesian ODE Filters
Gaussian ODE filtering is a probabilistic numerical method to solve ordi...
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Active Multi-Information Source Bayesian Quadrature
Bayesian quadrature (BQ) is a sample-efficient probabilistic numerical m...
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Probabilistic Line Searches for Stochastic Optimization
In deterministic optimization, line searches are a standard tool ensurin...
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