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Jonathan Wenger
Jonathan Wenger
Doctoral Student, University of Tübingen, IMPRS fellow
Verified email at uni-tuebingen.de - Homepage
Title
Cited by
Cited by
Year
Non-Parametric Calibration for Classification
J Wenger, H Kjellström, R Triebel
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
602020
Probabilistic Linear Solvers for Machine Learning
J Wenger, P Hennig
Advances in Neural Information Processing Systems (NeurIPS), 2020
122020
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
J Wenger, G Pleiss, P Hennig, JP Cunningham, JR Gardner
International Conference on Machine Learning (ICML), 2022
8*2022
ProbNum: Probabilistic Numerics in Python
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 2021
42021
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
M Pförtner, I Steinwart, P Hennig, J Wenger
arXiv preprint arXiv:2212.12474, 2022
2022
Posterior and Computational Uncertainty in Gaussian Processes
J Wenger, G Pleiss, M Pförtner, P Hennig, JP Cunningham
Advances in Neural Information Processing Systems (NeurIPS), 2022
2022
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