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Stefan Falkner
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- affiliation: University of Freiburg, Department of Computer Science, Germany
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Journal Articles
- 2022
- [j1]Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer
, Frank Hutter:
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning. J. Mach. Learn. Res. 23: 261:1-261:61 (2022)
Conference and Workshop Papers
- 2024
- [c12]Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp:
Scalable Meta-Learning with Gaussian Processes. AISTATS 2024: 1981-1989 - 2022
- [c11]Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper:
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. NeurIPS 2022 - 2021
- [c10]Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper:
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. NeurIPS 2021: 7319-7332 - 2020
- [c9]Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer
, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel:
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. ICLR 2020 - 2019
- [c8]Frederic Runge, Danny Stoll
, Stefan Falkner, Frank Hutter:
Learning to Design RNA. ICLR (Poster) 2019 - [c7]Louay Abdelgawad, Peter Kluegl, Erdan Genc, Stefan Falkner, Frank Hutter:
Optimizing Neural Networks for Patent Classification. ECML/PKDD (3) 2019: 688-703 - 2018
- [c6]Stefan Falkner, Aaron Klein, Frank Hutter:
Practical Hyperparameter Optimization for Deep Learning. ICLR (Workshop) 2018 - [c5]Stefan Falkner, Aaron Klein, Frank Hutter:
BOHB: Robust and Efficient Hyperparameter Optimization at Scale. ICML 2018: 1436-1445 - 2017
- [c4]Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter:
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. AISTATS 2017: 528-536 - [c3]Aaron Klein, Stefan Falkner, Jost Tobias Springenberg, Frank Hutter:
Learning Curve Prediction with Bayesian Neural Networks. ICLR (Poster) 2017 - 2016
- [c2]Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter:
Bayesian Optimization with Robust Bayesian Neural Networks. NIPS 2016: 4134-4142 - 2015
- [c1]Stefan Falkner, Marius Lindauer, Frank Hutter:
SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers. SAT 2015: 215-222
Informal and Other Publications
- 2023
- [i9]Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren:
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. CoRR abs/2307.03565 (2023) - [i8]Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp:
Scalable Meta-Learning with Gaussian Processes. CoRR abs/2312.00742 (2023) - 2020
- [i7]Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter:
Auto-Sklearn 2.0: The Next Generation. CoRR abs/2007.04074 (2020) - 2019
- [i6]Matilde Gargiani, Aaron Klein, Stefan Falkner, Frank Hutter:
Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings. CoRR abs/1910.04522 (2019) - 2018
- [i5]Stefan Falkner, Aaron Klein, Frank Hutter:
BOHB: Robust and Efficient Hyperparameter Optimization at Scale. CoRR abs/1807.01774 (2018) - [i4]Arber Zela
, Aaron Klein, Stefan Falkner, Frank Hutter:
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search. CoRR abs/1807.06906 (2018) - [i3]Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter:
Learning to Design RNA. CoRR abs/1812.11951 (2018) - 2016
- [i2]Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter:
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. CoRR abs/1605.07079 (2016) - [i1]Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter:
Asynchronous Stochastic Gradient MCMC with Elastic Coupling. CoRR abs/1612.00767 (2016)
Coauthor Index
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