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David R. Burt
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Gaussian processes at the Helm(holtz): A more fluid model for ocean currents


Feb 20, 2023
Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick

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* 50 pages, 16 figures 
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Sparse Gaussian Process Hyperparameters: Optimize or Integrate?


Nov 04, 2022
Vidhi Lalchand, Wessel P. Bruinsma, David R. Burt, Carl E. Rasmussen

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* Advances in Neural Information Processing Systems (New Orleans), 2022 
 * NeurIPS 2022 
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Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees


Oct 14, 2022
Alexander Terenin, David R. Burt, Artem Artemev, Seth Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge

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A Note on the Chernoff Bound for Random Variables in the Unit Interval


May 15, 2022
Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt

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Wide Mean-Field Bayesian Neural Networks Ignore the Data


Feb 23, 2022
Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez

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Barely Biased Learning for Gaussian Process Regression


Sep 20, 2021
David R. Burt, Artem Artemev, Mark van der Wilk

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How Tight Can PAC-Bayes be in the Small Data Regime?


Jun 07, 2021
Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner

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* Preprint. Under review 
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Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients


Feb 16, 2021
Artem Artemev, David R. Burt, Mark van der Wilk

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* Preprint 
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Understanding Variational Inference in Function-Space


Nov 18, 2020
David R. Burt, Sebastian W. Ober, Adrià Garriga-Alonso, Mark van der Wilk

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* 19 pages 
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Convergence of Sparse Variational Inference in Gaussian Processes Regression


Aug 01, 2020
David R. Burt, Carl Edward Rasmussen, Mark van der Wilk

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* Journal of Machine Learning Research, 21(131), 1-63 (2020) 
 * Extended version of http://proceedings.mlr.press/v97/burt19a.html (arxiv version: arXiv:1903.03571 ). Published in Journal of Machine Learning Research: http://jmlr.org/papers/v21/19-1015.html. Code available at: https://github.com/markvdw/RobustGP 
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