Steven Adriaensen
4 papers · 2016–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
Venues
Top co-authors
Research topics
Keywords
prior-data fitted network
(2)
bayesian inference
(1)
hyperparameter optimization
(1)
in-context learning
(1)
transformer
(1)
bayesian optimization
(1)
posterior predictive
(1)
surrogate model
(1)
learning curve
(1)
scaling law
(1)
uncertainty
(1)
bayesian
(1)
extrapolation
(1)
freeze-thaw
(1)
model selection
(1)
synthetic functions
(1)
Papers
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
ICML 2025
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
ICML 2024
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
NeurIPS 2023
Towards a White Box Approach to Automated Algorithm Design
IJCAI 2016