Sebastian W. Ober
7 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🐝
Cross-Pollinator
(14)
🗺️
Taxonomy Completionist
(11)
Conferences
AISTATS (2)
ICML (2)
UAI (2)
ICLR (1)
Top co-authors
Keywords
gaussian process
(4)
variational inference
(3)
wishart distribution
(1)
sequential decision making
(1)
data augmentation
(1)
deep kernel learning
(1)
marginal likelihood
(1)
invariance learning
(1)
bayesian model selection
(1)
bayesian treatment
(1)
bayesian optimization
(1)
determinantal point process
(1)
uncertainty estimation
(1)
bayesian neural network
(1)
inducing point
(1)
sparse gaussian process
(1)
deep gaussian process
(1)
deep kernel process
(1)
neural network
(1)
deep wishart process
(1)
Papers
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
ICML 2025
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
AISTATS 2023
An improved variational approximate posterior for the deep Wishart process
UAI 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