Wilk, Mark

7 publications

AISTATS 2023 Actually Sparse Variational Gaussian Processes Harry Jake Cunningham, Daniel Augusto Souza, So Takao, Mark Wilk, Marc Peter Deisenroth

UAI 2022 Data Augmentation in Bayesian Neural Networks and the Cold Posterior Effect Seth Nabarro, Stoil Ganev, Adrià Garriga-Alonso, Vincent Fortuin, Mark Wilk, Laurence Aitchison

UAI 2022 Learning Invariant Weights in Neural Networks Tycho F.A. Ouderaa, Mark Wilk

UAI 2021 Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks Adrià Garriga-Alonso, Mark Wilk

UAI 2021 The Promises and Pitfalls of Deep Kernel Learning Sebastian W. Ober, Carl E. Rasmussen, Mark Wilk

ICML 2021 Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients Artem Artemev, David R. Burt, Mark Wilk

AISTATS 2020 Bayesian Image Classification with Deep Convolutional Gaussian Processes Vincent Dutordoir, Mark Wilk, Artem Artemev, James Hensman