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12/23/2022
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
Linear partial differential equations (PDEs) are an important, widely ap...
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05/30/2022
Posterior and Computational Uncertainty in Gaussian Processes
Gaussian processes scale prohibitively with the size of the dataset. In ...
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12/03/2021
ProbNum: Probabilistic Numerics in Python
Probabilistic numerical methods (PNMs) solve numerical problems via prob...
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07/01/2021
Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning
Gaussian processes remain popular as a flexible and expressive model cla...
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10/19/2020
Probabilistic Linear Solvers for Machine Learning
Linear systems are the bedrock of virtually all numerical computation. M...
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06/12/2019