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Jonathan Wenger

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Accelerating Generalized Linear Models by Trading off Computation for Uncertainty

Oct 31, 2023
Lukas Tatzel, Jonathan Wenger, Frank Schneider, Philipp Hennig

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Large-Scale Gaussian Processes via Alternating Projection

Oct 26, 2023
Kaiwen Wu, Jonathan Wenger, Haydn Jones, Geoff Pleiss, Jacob R. Gardner

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On the Disconnect Between Theory and Practice of Overparametrized Neural Networks

Sep 29, 2023
Jonathan Wenger, Felix Dangel, Agustinus Kristiadi

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Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers

Dec 23, 2022
Marvin Pförtner, Ingo Steinwart, Philipp Hennig, Jonathan Wenger

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Posterior and Computational Uncertainty in Gaussian Processes

May 30, 2022
Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham

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ProbNum: Probabilistic Numerics in Python

Dec 03, 2021
Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig

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Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning

Jul 01, 2021
Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. Gardner

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Probabilistic Linear Solvers for Machine Learning

Oct 22, 2020
Jonathan Wenger, Philipp Hennig

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Non-Parametric Calibration for Classification

Jun 12, 2019
Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel

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