Stefan Falkner

According to our database, Stefan Falkner authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Scalable Meta-Learning with Gaussian Processes.

Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp

CoRR, 2023

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization.

Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren

CoRR, 2023

2022

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning.

Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter

J. Mach. Learn. Res., 2022

Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders.

Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders.

Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Auto-Sklearn 2.0: The Next Generation.

Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter

CoRR, 2020

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization.

Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings.

Matilde Gargiani, Aaron Klein, Stefan Falkner, Frank Hutter

CoRR, 2019

Optimizing Neural Networks for Patent Classification.

Louay Abdelgawad, Peter Kluegl, Erdan Genc, Stefan Falkner, Frank Hutter

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Learning to Design RNA.

Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search.

Arber Zela, Aaron Klein, Stefan Falkner, Frank Hutter

CoRR, 2018

BOHB: Robust and Efficient Hyperparameter Optimization at Scale.

Stefan Falkner, Aaron Klein, Frank Hutter

Proceedings of the 35th International Conference on Machine Learning, 2018

Practical Hyperparameter Optimization for Deep Learning.

Stefan Falkner, Aaron Klein, Frank Hutter

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Learning Curve Prediction with Bayesian Neural Networks.

Aaron Klein, Stefan Falkner, Jost Tobias Springenberg, Frank Hutter

Proceedings of the 5th International Conference on Learning Representations, 2017

Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets.

Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Asynchronous Stochastic Gradient MCMC with Elastic Coupling.

Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter

CoRR, 2016

Bayesian Optimization with Robust Bayesian Neural Networks.

Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers.

Stefan Falkner, Marius Lindauer, Frank Hutter

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2015, 2015