René Sass

According to our database, René Sass authored at least 5 papers between 2020 and 2022.

Collaborative distances:

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

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

DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning.

René Sass, Eddie Bergman, André Biedenkapp, Frank Hutter, Marius Lindauer

CoRR, 2022

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

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO.

Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Risk Assessment for Machine Learning Models.

Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht

CoRR, 2020