Alexander Tornede

According to our database, Alexander Tornede authored at least 26 papers between 2019 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

Position: A Call to Action for a Human-Centered AutoML Paradigm.

Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl

CoRR, 2024

Position: A Call to Action for a Human-Centered AutoML Paradigm.

Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Müller, Frank Hutter, Matthias Feurer, Bernd Bischl

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning.

Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PyExperimenter: Easily distribute experiments and track results.

Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever

J. Open Source Softw., June, 2023

Algorithm selection on a meta level.

Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier

Mach. Learn., April, 2023

Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data and Simplifying Meta Level Decisions.

Alexander Tornede

PhD thesis, 2023

MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information.

Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer

Trans. Mach. Learn. Res., 2023

Towards Green Automated Machine Learning: Status Quo and Future Directions.

Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier

J. Artif. Intell. Res., 2023

A Survey of Methods for Automated Algorithm Configuration (Extended Abstract).

Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

2022

A Survey of Methods for Automated Algorithm Configuration.

Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney

J. Artif. Intell. Res., 2022

HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection.

Lukas Fehring, Jonas Hanselle, Alexander Tornede

CoRR, 2022

Machine Learning for Online Algorithm Selection under Censored Feedback.

Alexander Tornede, Viktor Bengs, Eyke Hüllermeier

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

AutoML for Multi-Label Classification: Overview and Empirical Evaluation.

Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.

Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Automated Machine Learning, Bounded Rationality, and Rational Metareasoning.

Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever

CoRR, 2021

Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.

Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance.

Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Towards Meta-Algorithm Selection.

Alexander Tornede, Marcel Wever, Eyke Hüllermeier

CoRR, 2020

AutoML for Predictive Maintenance: One Tool to RUL Them All.

Tanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Hybrid Ranking and Regression for Algorithm Selection.

Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification.

Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Extreme Algorithm Selection with Dyadic Feature Representation.

Alexander Tornede, Marcel Wever, Eyke Hüllermeier

Proceedings of the Discovery Science - 23rd International Conference, 2020

Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis.

Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

From Automated to On-The-Fly Machine Learning.

Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019