Sarah Segel

According to our database, Sarah Segel authored at least 4 papers between 2021 and 2024.

Collaborative distances:

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

2024

AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks.

Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer

Trans. Mach. Learn. Res., 2024

AMLTK: A Modular AutoML Toolkit in Python.

Edward Bergman, Matthias Feurer, Aron Bahram, Amir Rezaei Balef, Lennart Purucker, Sarah Segel, Marius Lindauer, Frank Hutter, Katharina Eggensperger

J. Open Source Softw., 2024

2023

Symbolic Explanations for Hyperparameter Optimization.

Sarah Segel, Helena Graf, Alexander Tornede, Bernd Bischl, Marius Lindauer

Proceedings of the International Conference on Automated Machine Learning, 2023

2021

Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data.

Adrian Remonda, Sarah Krebs, Eduardo E. Veas, Granit Luzhnica, Roman Kern

CoRR, 2021