Sebastian W. Ober
7 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(11)
Venues
Top co-authors
Research topics
Keywords
gaussian process
(4)
variational inference
(3)
bayesian neural network
(2)
sequential decision making
(1)
data augmentation
(1)
deep kernel learning
(1)
marginal likelihood
(1)
invariance learning
(1)
bayesian model selection
(1)
gaussian priors
(1)
prior distribution
(1)
bayesian treatment
(1)
bayesian optimization
(1)
determinantal point process
(1)
latent space
(1)
uncertainty estimation
(1)
inducing point
(1)
sparse gaussian process
(1)
deep gaussian process
(1)
weight distribution
(1)
Papers
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
ICML 2025
An improved variational approximate posterior for the deep Wishart process
UAI 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
AISTATS 2023
Bayesian Neural Network Priors Revisited
ICLR 2022
Last Layer Marginal Likelihood for Invariance Learning
AISTATS 2022
Deep kernel processes
ICML 2021
The promises and pitfalls of deep kernel learning
UAI 2021