Alexander Tornede

39 papers A* 4A 1B 2C 1Misc 1Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network.
CoRR
Theresa Eimer, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede, Lars Kotthoff, Pieter Leyman, Matthias Feurer, Katharina Eggensperger, Kaitlin Maile, Tanja Tornede, Anna Kozak, Ke Xue, Marcel Wever, Mitra Baratchi, Damir Pulatov, Heike Trautmann, Haniye Kashgarani, Marius Lindauer
2025 J jnl
DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning.
CoRR
Sarah Segel, Helena Graf, Edward Bergman, Kristina Thieme, Marcel Wever, Alexander Tornede, Frank Hutter, Marius Lindauer
2025 J jnl
DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning.
J. Mach. Learn. Res.
Sarah Segel, Helena Graf, Edward Bergman, Kristina Thieme, Marcel Wever, Alexander Tornede, Frank Hutter, Marius Lindauer
2025 J jnl
RunAndSchedule2Survive: Algorithm Scheduling Based on Run2Survive.
ACM Trans. Evol. Learn. Optim.
Valentin Margraf, Tom Koerner, Alexander Tornede, Marcel Wever
2024 J jnl
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks.
Trans. Mach. Learn. Res.
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
2024 A* conf
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning.
AAAI
Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer
2024 A* conf
Position: A Call to Action for a Human-Centered AutoML Paradigm.
ICML
Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Müller, Frank Hutter, Matthias Feurer, Bernd Bischl
2024 J jnl
Position: A Call to Action for a Human-Centered AutoML Paradigm.
CoRR
Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Müller, Frank Hutter, Matthias Feurer, Bernd Bischl
2023 A* conf
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract).
IJCAI
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
2023 — —
Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data and Simplifying Meta Level Decisions.
Alexander Tornede
2023 J jnl
Algorithm selection on a meta level.
Mach. Learn.
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
2023 J jnl
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks.
CoRR
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
2023 J jnl
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning.
CoRR
Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer
2023 J jnl
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information.
Trans. Mach. Learn. Res.
Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer
2023 J jnl
PyExperimenter: Easily distribute experiments and track results.
CoRR
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
2023 J jnl
PyExperimenter: Easily distribute experiments and track results.
J. Open Source Softw.
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
2023 — conf
Symbolic Explanations for Hyperparameter Optimization.
AutoML
Sarah Segel, Helena Graf, Alexander Tornede, Bernd Bischl, Marius Lindauer
2023 J jnl
Towards Green Automated Machine Learning: Status Quo and Future Directions.
J. Artif. Intell. Res.
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier
2022 J jnl
A Survey of Methods for Automated Algorithm Configuration.
CoRR
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
2022 J jnl
A Survey of Methods for Automated Algorithm Configuration.
J. Artif. Intell. Res.
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
2022 J jnl
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection.
CoRR
Lukas Fehring, Jonas Hanselle, Alexander Tornede
2022 A* conf
Machine Learning for Online Algorithm Selection under Censored Feedback.
AAAI
Alexander Tornede, Viktor Bengs, Eyke Hüllermeier
2021 — conf
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.
PAKDD (1)
Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2021 J jnl
Algorithm Selection on a Meta Level.
CoRR
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
2021 J jnl
AutoML for Multi-Label Classification: Overview and Empirical Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell.
Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
2021 J jnl
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning.
CoRR
Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever
2021 A conf
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance.
GECCO
Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2021 J jnl
Machine Learning for Online Algorithm Selection under Censored Feedback.
CoRR
Alexander Tornede, Viktor Bengs, Eyke Hüllermeier
2021 J jnl
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
2021 J jnl
Towards Green Automated Machine Learning: Status Quo and Future Directions.
CoRR
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier
2020 — conf
AutoML for Predictive Maintenance: One Tool to RUL Them All.
IoT Streams/ITEM@PKDD/ECML
Tanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier
2020 J jnl
Extreme Algorithm Selection With Dyadic Feature Representation.
CoRR
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2020 B conf
Extreme Algorithm Selection with Dyadic Feature Representation.
DS
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2020 Misc conf
Hybrid Ranking and Regression for Algorithm Selection.
KI
Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2020 B conf
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification.
IDA
Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
2020 C conf
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis.
ACML
Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
2020 J jnl
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis.
CoRR
Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
2020 J jnl
Towards Meta-Algorithm Selection.
CoRR
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
2019 — conf
From Automated to On-The-Fly Machine Learning.
GI-Jahrestagung
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier