Risk Assessment for Machine Learning Models. - Paul Schwerdtner; Florens Greßner; Nikhil Kapoor; Felix Assion; René Sass; Wiebke Günther; Fabian Hüger; Peter Schlicht (CoRR, 2020)

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. - Katharina Eggensperger; Philipp Müller 008; Neeratyoy Mallik; Matthias Feurer; René Sass; Aaron Klein; Noor H. Awad; Marius Lindauer; Frank Hutter (NeurIPS Datasets and Benchmarks, 2021)

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. - Marius Lindauer; Katharina Eggensperger; Matthias Feurer; André Biedenkapp; Difan Deng; Carolin Benjamins; René Sass; Frank Hutter (CoRR, 2021)

DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning. - René Sass; Eddie Bergman; André Biedenkapp; Frank Hutter; Marius Lindauer (CoRR, 2022)

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. - Marius Lindauer; Katharina Eggensperger; Matthias Feurer; André Biedenkapp; Difan Deng; Carolin Benjamins; Tim Ruhkopf; René Sass; Frank Hutter (J. Mach. Learn. Res., 2022)