Danny Stoll

15 papers A* 4Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-objective Hyperparameter Optimization in the Age of Deep Learning.
CoRR
Soham Basu, Frank Hutter, Danny Stoll
2024 J jnl
LMEMs for post-hoc analysis of HPO Benchmarking.
CoRR
Anton Geburek, Neeratyoy Mallik, Danny Stoll, Xavier Bouthillier, Frank Hutter
2023 A* conf
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars.
NeurIPS
Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sanjay Sukthanker, Thomas Brox, Frank Hutter
2023 A* conf
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.
NeurIPS
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
2023 J jnl
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.
CoRR
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
2022 A* conf
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
ICLR
Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
2022 A* conf
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search.
NeurIPS
Archit Bansal, Danny Stoll, Maciej Janowski, Arber Zela, Frank Hutter
2022 J jnl
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning.
CoRR
Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter
2022 J jnl
Towards Discovering Neural Architectures from Scratch.
CoRR
Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sanjay Sukthanker, Thomas Brox, Frank Hutter
2022 J jnl
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019.
CoRR
Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang
2022 J jnl
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
CoRR
Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
2021 J jnl
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang
2020 J jnl
Hyperparameter Transfer Across Developer Adjustments.
CoRR
Danny Stoll, Jörg K. H. Franke, Diane Wagner, Simon Selg, Frank Hutter
2019 — conf
Learning to Design RNA.
ICLR (Poster)
Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter
2018 J jnl
Learning to Design RNA.
CoRR
Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter