Jonathan Wenger

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Gaussian Process

Top Venues

Publications

Kaiwen Wu, Jonathan Wenger, Haydn T. Jones, Geoff Pleiss, Jacob R. Gardner
Large-Scale Gaussian Processes via Alternating Projection. AISTATS (2024)
Marvin Pförtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig
Computation-Aware Kalman Filtering and Smoothing. CoRR (2024)
Kaiwen Wu, Jonathan Wenger, Haydn Jones, Geoff Pleiss, Jacob R. Gardner
Large-Scale Gaussian Processes via Alternating Projection. CoRR (2023)
Jonathan Wenger, Felix Dangel, Agustinus Kristiadi
On the Disconnect Between Theory and Practice of Overparametrized Neural Networks. CoRR (2023)
Lukas Tatzel, Jonathan Wenger, Frank Schneider, Philipp Hennig
Accelerating Generalized Linear Models by Trading off Computation for Uncertainty. CoRR (2023)
Marvin Pförtner, Ingo Steinwart, Philipp Hennig, Jonathan Wenger
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers. CoRR (2022)
Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham
Posterior and Computational Uncertainty in Gaussian Processes. CoRR (2022)
Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham
Posterior and Computational Uncertainty in Gaussian Processes. NeurIPS (2022)
Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. Gardner
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization. ICML (2022)
Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. Gardner
Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning. CoRR (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
ProbNum: Probabilistic Numerics in Python. CoRR (2021)
Jonathan Wenger, Philipp Hennig
Probabilistic Linear Solvers for Machine Learning. CoRR (2020)
Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel
Non-Parametric Calibration for Classification. AISTATS (2020)
Jonathan Wenger, Philipp Hennig
Probabilistic Linear Solvers for Machine Learning. NeurIPS (2020)
Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel
Non-Parametric Calibration for Classification. CoRR (2019)