Alexander Tornede

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

Top Topics

Future Directions

Expectation Maximization

Bounded Rationality

Machine Learning

Top Venues

J. Artif. Intell. Res.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl
Position: A Call to Action for a Human-Centered AutoML Paradigm. CoRR (2024)
Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. AAAI (2024)
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. Trans. Mach. Learn. Res. 2024 (2024)
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. CoRR (2023)
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
PyExperimenter: Easily distribute experiments and track results. J. Open Source Softw. 8 (86) (2023)
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions. J. Artif. Intell. Res. 77 (2023)
Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information. Trans. Mach. Learn. Res. 2023 (2023)
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). IJCAI (2023)
Sarah Segel, Helena Graf, Alexander Tornede, Bernd Bischl, Marius Lindauer
Symbolic Explanations for Hyperparameter Optimization. AutoML (2023)
Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. CoRR (2023)
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
PyExperimenter: Easily distribute experiments and track results. CoRR (2023)
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm selection on a meta level. Mach. Learn. 112 (4) (2023)
Lukas Fehring, Jonas Hanselle, Alexander Tornede
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection. CoRR (2022)
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
A Survey of Methods for Automated Algorithm Configuration. CoRR (2022)
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
A Survey of Methods for Automated Algorithm Configuration. J. Artif. Intell. Res. 75 (2022)
Alexander Tornede, Viktor Bengs, Eyke Hüllermeier
Machine Learning for Online Algorithm Selection under Censored Feedback. AAAI (2022)
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR (2021)
Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. PAKDD (1) (2021)
Alexander Tornede, Viktor Bengs, Eyke Hüllermeier
Machine Learning for Online Algorithm Selection under Censored Feedback. CoRR (2021)
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm Selection on a Meta Level. CoRR (2021)
Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. GECCO (2021)
Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. CoRR (2021)
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Extreme Algorithm Selection with Dyadic Feature Representation. DS (2020)
Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. IDA (2020)
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Towards Meta-Algorithm Selection. CoRR (2020)
Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Hybrid Ranking and Regression for Algorithm Selection. KI (2020)
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Extreme Algorithm Selection With Dyadic Feature Representation. CoRR (2020)
Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. CoRR (2020)
Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML (2020)
Tanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier
AutoML for Predictive Maintenance: One Tool to RUL Them All. IoT Streams/ITEM@PKDD/ECML (2020)
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
From Automated to On-The-Fly Machine Learning. GI-Jahrestagung (2019)