Steven Adriaensen

20 papers A* 5A 1B 3Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks. ICML Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee
2025	J	`jnl`	Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks. CoRR Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee
2025	J	`jnl`	Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning. CoRR Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Hae Beom Lee
2025	J	`jnl`	Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics. CoRR Indrashis Das, Mahmoud Safari, Steven Adriaensen, Frank Hutter
2025	J	`jnl`	Tune My Adam, Please! CoRR Theodoros Athanasiadis, Steven Adriaensen, Samuel Müller, Frank Hutter
2024	A*	`conf`	In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. ICML Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Eddie Bergman, Frank Hutter
2024	J	`jnl`	In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. CoRR Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Edward Bergman, Frank Hutter
2023	A*	`conf`	Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks. NeurIPS Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter
2023	J	`jnl`	Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks. CoRR Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter
2022	J	`jnl`	Automated Dynamic Algorithm Configuration. CoRR Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter
2022	J	`jnl`	Automated Dynamic Algorithm Configuration. J. Artif. Intell. Res. Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter
2021	A*	`conf`	DACBench: A Benchmark Library for Dynamic Algorithm Configuration. IJCAI Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer
2021	J	`jnl`	DACBench: A Benchmark Library for Dynamic Algorithm Configuration. CoRR Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer
2020	—	`conf`	Learning Step-Size Adaptation in CMA-ES. PPSN (1) Gresa Shala, André Biedenkapp, Noor H. Awad, Steven Adriaensen, Marius Lindauer, Frank Hutter
2017	—	`conf`	An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design. LION Steven Adriaensen, Filip Moons, Ann Nowé
2016	B	`conf`	Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex. CEC Steven Adriaensen, Ann Nowé
2016	A*	`conf`	Towards a White Box Approach to Automated Algorithm Design. IJCAI Steven Adriaensen, Ann Nowé
2015	B	`conf`	A benchmark set extension and comparative study for the HyFlex framework. CEC Steven Adriaensen, Gabriela Ochoa, Ann Nowé
2014	B	`conf`	Designing reusable metaheuristic methods: A semi-automated approach. IEEE Congress on Evolutionary Computation Steven Adriaensen, Tim Brys, Ann Nowé
2014	A	`conf`	Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic. GECCO Steven Adriaensen, Tim Brys, Ann Nowé