ML Anthology

Burt, David

5 publications

NeurIPS 2022 Sparse Gaussian Process Hyperparameters: Optimize or Integrate? Vidhi Lalchand, Wessel Bruinsma, David Burt, Carl Edward Rasmussen
NeurIPS 2021 How Tight Can PAC-Bayes Be in the Small Data Regime? Andrew Foong, Wessel Bruinsma, David Burt, Richard Turner
AISTATS 2020 Bandit Optimisation of Functions in the Matérn Kernel RKHS David Janz, David Burt, Javier Gonzalez
NeurIPS 2020 On the Expressiveness of Approximate Inference in Bayesian Neural Networks Andrew Foong, David Burt, Yingzhen Li, Richard Turner
ICML 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression David Burt, Carl Edward Rasmussen, Mark Van Der Wilk