René Sass

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 6

Top Topics

Infeasible Solutions

Benchmark Problems

Machine Learning

Document Collections

Top Venues

J. Mach. Learn. Res.

NeurIPS Datasets and Benchmarks

Publications

Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, Frank Hutter
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. J. Mach. Learn. Res. 23 (2022)
René Sass, Eddie Bergman, André Biedenkapp, Frank Hutter, Marius Lindauer
DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning. CoRR (2022)
Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. CoRR (2021)
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, René Sass, Frank Hutter
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. CoRR (2021)
Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. NeurIPS Datasets and Benchmarks (2021)
Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht
Risk Assessment for Machine Learning Models. CoRR (2020)