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Philipp Hennig
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Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
Computation-Aware Kalman Filtering and Smoothing
Accelerating Generalized Linear Models by Trading Off Computation for Uncertainty
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
Posterior and Computational Uncertainty in Gaussian Processes
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
ProbNum: Probabilistic Numerics in Python
Probabilistic Linear Solvers for Machine Learning