David Burt
5 papers · 2019–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
❓
The Questioner
(2)
Venues
Top co-authors
Research topics
Keywords
gaussian process
(3)
variational inference
(3)
uncertainty quantification
(1)
kl divergence
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
reproducing kernel hilbert space
(1)
sparse approximation
(1)
generalization error
(1)
prior distribution
(1)
bayesian optimization
(1)
pac-bayes bound
(1)
convergence rate
(1)
bandit optimization
(1)
sublinear regret
(1)
uncertainty estimation
(1)
bayesian neural network
(1)
predictive distribution
(1)
inducing variable
(1)
mean-field gaussian
(1)
Papers
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
NeurIPS 2022
How Tight Can PAC-Bayes be in the Small Data Regime?
NeurIPS 2021
Bandit optimisation of functions in the Matérn kernel RKHS
AISTATS 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
NeurIPS 2020
Rates of Convergence for Sparse Variational Gaussian Process Regression
ICML 2019