SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers. - Stefan Falkner; Marius Lindauer; Frank Hutter (SAT, 2015)

Bayesian Optimization with Robust Bayesian Neural Networks. - Jost Tobias Springenberg; Aaron Klein; Stefan Falkner; Frank Hutter (NIPS, 2016)

Asynchronous Stochastic Gradient MCMC with Elastic Coupling. - Jost Tobias Springenberg; Aaron Klein; Stefan Falkner; Frank Hutter (CoRR, 2016)

Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. - Aaron Klein; Stefan Falkner; Simon Bartels; Philipp Hennig; Frank Hutter (AISTATS, 2017)

Learning Curve Prediction with Bayesian Neural Networks. - Aaron Klein; Stefan Falkner; Jost Tobias Springenberg; Frank Hutter (ICLR (Poster), 2017)

Practical Hyperparameter Optimization for Deep Learning. - Stefan Falkner; Aaron Klein; Frank Hutter (ICLR (Workshop), 2018)

BOHB: Robust and Efficient Hyperparameter Optimization at Scale. - Stefan Falkner; Aaron Klein; Frank Hutter (ICML, 2018)

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search. - Arber Zela; Aaron Klein; Stefan Falkner; Frank Hutter (CoRR, 2018)

Learning to Design RNA. - Frederic Runge; Danny Stoll; Stefan Falkner; Frank Hutter (ICLR (Poster), 2019)

Optimizing Neural Networks for Patent Classification. - Louay Abdelgawad; Peter Kluegl; Erdan Genc; Stefan Falkner; Frank Hutter (ECML/PKDD (3), 2019)

Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings. - Matilde Gargiani; Aaron Klein; Stefan Falkner; Frank Hutter (CoRR, 2019)

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 (ICLR, 2020)

Auto-Sklearn 2.0: The Next Generation. - Matthias Feurer; Katharina Eggensperger; Stefan Falkner; Marius Lindauer; Frank Hutter (CoRR, 2020)

Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. - Amrutha Saseendran; Kathrin Skubch; Stefan Falkner; Margret Keuper (NeurIPS, 2021)

Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. - Amrutha Saseendran; Kathrin Skubch; Stefan Falkner; Margret Keuper (NeurIPS, 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)

Scalable Meta-Learning with Gaussian Processes. - Petru Tighineanu; Lukas Grossberger; Paul Baireuther; Kathrin Skubch; Stefan Falkner; Julia Vinogradska; Felix Berkenkamp (AISTATS, 2024)

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. - Jiarong Pan; Stefan Falkner; Felix Berkenkamp; Joaquin Vanschoren (ICML, 2024)