Steven Adriaensen

4 papers · 2016–2025 · 3 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (3) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15)

Conferences

ICML (2) IJCAI (1) NIPS (1)

Top co-authors

Frank Hutter (3) Herilalaina Rakotoarison (2) Dong Bok Lee (1) Ann Nowe (1) Dongwoo Lee (1) Eddie Bergman (1) Seon Joo Kim (1) Neeratyoy Mallik (1) Hae Beom Lee (1) Samuel Müller (1)

Keywords

model selection (1) bayesian inference (1) posterior predictive (1) learning curve (1) prior-data fitted network (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 NIPS 2023

Towards a White Box Approach to Automated Algorithm Design IJCAI 2016