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个人简介
My main research focus lies on the performance tuning of any kind of algorithm (e.g., SAT solvers or machine learning algorithms) using cutting edge techniques from machine learning and optimization. A well-known, but also a tedious, time-consuming and error-prone way to optimize performance (e.g., runtime or prediction loss) is to tune the algorithm’s (hyper-) parameters. To lift the burden on developers and users, I develop methods to automate the process of parameter tuning and algorithm selection for a given problem at hand (e.g., a machine learning dataset, or a set of SAT formulas). To this end, I provide ready-to-use, push-button software that enables users to optimize their software in an easy and efficient way.
研究兴趣
论文共 105 篇作者统计合作学者相似作者
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Trends in Plant Scienceno. 12 (2023): 1451-1452
Alexander Tornede,Difan Deng,Theresa Eimer,Joseph Giovanelli, Aditya Mohan,Tim Ruhkopf, Sarah Segel,Daphne Theodorakopoulos,Tanja Tornede, Henning Wachsmuth,Marius Lindauer
CoRR (2023)
引用3浏览0EI引用
3
0
Neeratyoy Mallik,Edward Bergman,Carl Hvarfner,Danny Stoll, Maciej Janowski,Marius Lindauer,Luigi Nardi,Frank Hutter
NeurIPS (2023)
引用1浏览0EI引用
1
0
CoRR (2023): 16/1-19
CoRR (2023): 483-486
引用0浏览0EI引用
0
0
Trans. Mach. Learn. Res. (2023)
引用0浏览0EI引用
0
0
CoRR (2023): 13/1-27
引用0浏览0EI引用
0
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CoRR (2023): 9104-9149
引用8浏览0EI引用
8
0
The VLDB Journal (2023): 1-23
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