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2020 – today
- 2024
[j2]Alexander Terenin, David R. Burt, Artem Artemev, Seth R. Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge:
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees. J. Mach. Learn. Res. 25: 26:1-26:36 (2024)- [i16]David R. Burt, Yunyi Shen, Tamara Broderick:
Consistent Validation for Predictive Methods in Spatial Settings. CoRR abs/2402.03527 (2024) - [i15]Renato Berlinghieri, David R. Burt, Paolo Giani, Arlene M. Fiore, Tamara Broderick:
A Framework for Evaluating PM2.5 Forecasts from the Perspective of Individual Decision Making. CoRR abs/2409.05866 (2024) - 2023
- [c8]Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan
, Tamay M. Özgökmen, Junfei Xia, Tamara Broderick:
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents. ICML 2023: 2113-2163 - [i14]Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan Giordano, Kaushik Srinivasan, Tamay M. Özgökmen, Junfei Xia, Tamara Broderick:
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents. CoRR abs/2302.10364 (2023) - 2022
- [c7]Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez:
Wide Mean-Field Bayesian Neural Networks Ignore the Data. AISTATS 2022: 5276-5333 - [c6]Vidhi Lalchand, Wessel P. Bruinsma, David R. Burt, Carl Edward Rasmussen:
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NeurIPS 2022 - [i13]Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez:
Wide Mean-Field Bayesian Neural Networks Ignore the Data. CoRR abs/2202.11670 (2022) - [i12]Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt:
A Note on the Chernoff Bound for Random Variables in the Unit Interval. CoRR abs/2205.07880 (2022) - [i11]Alexander Terenin, David R. Burt, Artem Artemev, Seth R. Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge:
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees. CoRR abs/2210.07893 (2022) - [i10]Vidhi Lalchand, Wessel P. Bruinsma, David R. Burt, Carl E. Rasmussen:
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? CoRR abs/2211.02476 (2022) - 2021
- [c5]Artem Artemev, David R. Burt, Mark van der Wilk:
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients. ICML 2021: 362-372 - [c4]Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner:
How Tight Can PAC-Bayes be in the Small Data Regime? NeurIPS 2021: 4093-4105 - [i9]Artem Artemev, David R. Burt, Mark van der Wilk:
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients. CoRR abs/2102.08314 (2021) - [i8]Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner:
How Tight Can PAC-Bayes be in the Small Data Regime? CoRR abs/2106.03542 (2021) - [i7]David R. Burt, Artem Artemev, Mark van der Wilk:
Barely Biased Learning for Gaussian Process Regression. CoRR abs/2109.09417 (2021) - 2020
- [j1]David R. Burt, Carl Edward Rasmussen, Mark van der Wilk:
Convergence of Sparse Variational Inference in Gaussian Processes Regression. J. Mach. Learn. Res. 21: 131:1-131:63 (2020) - [c3]David Janz, David R. Burt, Javier Gonzalez:
Bandit optimisation of functions in the Matérn kernel RKHS. AISTATS 2020: 2486-2495 - [c2]Andrew Y. K. Foong, David R. Burt, Yingzhen Li, Richard E. Turner:
On the Expressiveness of Approximate Inference in Bayesian Neural Networks. NeurIPS 2020 - [i6]David Janz, David R. Burt, Javier González:
Bandit optimisation of functions in the Matérn kernel RKHS. CoRR abs/2001.10396 (2020) - [i5]David R. Burt, Carl Edward Rasmussen, Mark van der Wilk:
Variational Orthogonal Features. CoRR abs/2006.13170 (2020) - [i4]David R. Burt, Carl Edward Rasmussen, Mark van der Wilk:
Convergence of Sparse Variational Inference in Gaussian Processes Regression. CoRR abs/2008.00323 (2020) - [i3]David R. Burt, Sebastian W. Ober, Adrià Garriga-Alonso, Mark van der Wilk:
Understanding Variational Inference in Function-Space. CoRR abs/2011.09421 (2020)
2010 – 2019
- 2019
- [c1]David R. Burt, Carl Edward Rasmussen, Mark van der Wilk:
Rates of Convergence for Sparse Variational Gaussian Process Regression. ICML 2019: 862-871 - [i2]David R. Burt, Carl E. Rasmussen, Mark van der Wilk:
Rates of Convergence for Sparse Variational Gaussian Process Regression. CoRR abs/1903.03571 (2019) - [i1]Andrew Y. K. Foong, David R. Burt, Yingzhen Li, Richard E. Turner:
Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks. CoRR abs/1909.00719 (2019)
Coauthor Index
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