Stefan Falkner

23 papers A* 5A 3Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. ICML Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren
2024	A	`conf`	Scalable Meta-Learning with Gaussian Processes. AISTATS Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp
2023	J	`jnl`	MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. CoRR Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren
2023	J	`jnl`	Scalable Meta-Learning with Gaussian Processes. CoRR Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp
2022	J	`jnl`	Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning. J. Mach. Learn. Res. Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter
2022	A*	`conf`	Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. NeurIPS Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper
2021	A*	`conf`	Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. NeurIPS Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper
2020	J	`jnl`	Auto-Sklearn 2.0: The Next Generation. CoRR Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter
2020	A*	`conf`	Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. ICLR Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel
2019	—	`conf`	Learning to Design RNA. ICLR (Poster) Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter
2019	—	`conf`	Optimizing Neural Networks for Patent Classification. ECML/PKDD (3) Louay Abdelgawad, Peter Kluegl, Erdan Genc, Stefan Falkner, Frank Hutter
2019	J	`jnl`	Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings. CoRR Matilde Gargiani, Aaron Klein, Stefan Falkner, Frank Hutter
2018	A*	`conf`	BOHB: Robust and Efficient Hyperparameter Optimization at Scale. ICML Stefan Falkner, Aaron Klein, Frank Hutter
2018	J	`jnl`	BOHB: Robust and Efficient Hyperparameter Optimization at Scale. CoRR Stefan Falkner, Aaron Klein, Frank Hutter
2018	J	`jnl`	Learning to Design RNA. CoRR Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter
2018	—	`conf`	Practical Hyperparameter Optimization for Deep Learning. ICLR (Workshop) Stefan Falkner, Aaron Klein, Frank Hutter
2018	J	`jnl`	Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search. CoRR Arber Zela, Aaron Klein, Stefan Falkner, Frank Hutter
2017	A	`conf`	Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. AISTATS Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter
2017	—	`conf`	Learning Curve Prediction with Bayesian Neural Networks. ICLR (Poster) Aaron Klein, Stefan Falkner, Jost Tobias Springenberg, Frank Hutter
2016	J	`jnl`	Asynchronous Stochastic Gradient MCMC with Elastic Coupling. CoRR Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter
2016	—	`conf`	Bayesian Optimization with Robust Bayesian Neural Networks. NIPS Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter
2016	J	`jnl`	Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. CoRR Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter
2015	A	`conf`	SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers. SAT Stefan Falkner, Marius Lindauer, Frank Hutter