ML Anthology

Wenger, Jonathan

8 publications

TMLR 2025 Accelerating Non-Conjugate Gaussian Processes by Trading Off Computation for Uncertainty Lukas Tatzel, Jonathan Wenger, Frank Schneider, Philipp Hennig
AISTATS 2025 Computation-Aware Kalman Filtering and Smoothing Marvin Pförtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig
NeurIPS 2024 Computation-Aware Gaussian Processes: Model Selection and Linear-Time Inference Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham
AISTATS 2024 Large-Scale Gaussian Processes via Alternating Projection Kaiwen Wu, Jonathan Wenger, Haydn T Jones, Geoff Pleiss, Jacob Gardner
NeurIPS 2022 Posterior and Computational Uncertainty in Gaussian Processes Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham
ICML 2022 Preconditioning for Scalable Gaussian Process Hyperparameter Optimization Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John Cunningham, Jacob Gardner
AISTATS 2020 Non-Parametric Calibration for Classification Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel)
NeurIPS 2020 Probabilistic Linear Solvers for Machine Learning Jonathan Wenger, Philipp Hennig