Interactive and Explainable Human-Centered AutoML

Project Information

ixAutoML

Grant agreement ID: 101041029

DOI

10.3030/101041029

EC signature date 8 February 2022

Start date 1 December 2022

End date 30 November 2027

Funded under

• European Research Council (ERC)

Total cost

€ 1 459 763,00

EU contribution

€ 1 459 763,00

Coordinated by

GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Data Management Plan

Provide a Data Management Plan

Publications

Conference proceedings (9)

piBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization

Author(s): Carl Hvarfner, Danny Stoll, Artur Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
Published in: ICLR 2022 Conference, 2022
Publisher: ICLR 2022 Conference

Hyperparameters in Reinforcement Learning and How To Tune Them

Author(s): Eimer, Theresa; Lindauer, Marius; Raileanu, Roberta
Published in: International Conference on Machine Learning, 2023
Publisher: PMLR
DOI: 10.48550/arxiv.2306.01324

Symbolic Explanations for Hyperparameter Optimization

Author(s): Segel, Sarah; Graf, Helena; Tornede, Alexander; Bischl, Bernd; Lindauer, Marius
Published in: International Conference on AutoML, 2023
Publisher: PMLR
DOI: 10.5281/zenodo.8123425

Automated Machine Learning for Remaining Useful Life Predictions

Author(s): Zöller, Marc-André; Mauthe, Fabian; Zeiler, Peter; Lindauer, Marius; Huber, Marco F.
Published in: 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
Publisher: IEEE
DOI: 10.48550/arxiv.2306.12215

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning

Author(s): Mallik, Neeratyoy; Bergman, Edward; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Lindauer, Marius; Nardi, Luigi; Hutter, Frank
Published in: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
Publisher: PMLR
DOI: 10.48550/arxiv.2306.12370

PriorBand: HyperBand + Human Expert Knowledge

Author(s): Neeratyoy Mallik, Carl Hvarfner, Danny Stoll, Maciej Janowski, Eddie Bergman, Marius Lindauer, Luigi Nardi, Frank Hutter
Published in: 2022 NeurIPS Workshop on Meta Learning (MetaLearn), 2022
Publisher: NeurIPS 2022 Workshop MetaLearn

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

Author(s): Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas C Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl
Published in: International Conference on Machine Learning (ICML), 2024
Publisher: PMLR

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

Author(s): Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 38, 2024, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v38i11.29106

AutoRL Hyperparameter Landscapes

Author(s): Mohan, Aditya; Benjamins, Carolin; Wienecke, Konrad; Dockhorn, Alexander; Lindauer, Marius
Published in: International Conference on AutoML, 2023
Publisher: PMLR
DOI: 10.48550/arxiv.2304.02396

Other (1)

Practitioner Motives to Select Hyperparameter Optimization Methods

Author(s): Hasebrook, Niklas; Morsbach, Felix; Kannengießer, Niclas; Zöller, Marc; Franke, Jörg; Lindauer, Marius; Hutter, Frank; Sunyaev, Ali
Published in: ArXiv, 2022
Publisher: ArXiv
DOI: 10.48550/arxiv.2203.01717

Peer reviewed articles (3)

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

Author(s): Alexander Tornede; Difan Deng; Theresa Eimer; Joseph Giovanelli; Aditya Mohan; Tim Ruhkopf; Sarah Segel; Daphne Theodorakopoulos; Tanja Tornede; Henning Wachsmuth; Marius Lindauer
Published in: Transactions of Machine Learning Research (TMLR), 2023, ISSN 2835-8856
Publisher: TMLR
DOI: 10.48550/arxiv.2306.08107

Application of machine learning for fleet-based condition monitoring of ball screw drives in machine tools

Author(s): Berend Denkena; Marc-André Dittrich; Hendrik Noske; Dirk Lange; Carolin Benjamins; Marius Lindauer
Published in: The International Journal of Advanced Manufacturing Technology, 2023, ISSN 1433-3015
Publisher: Springer
DOI: 10.15488/18169

AMLTK: A Modular AutoML Toolkit in Python

Author(s): Edward Bergman, Matthias Feurer, Aron Bahram, Amir Rezaei Balef, Lennart Purucker, Sarah Segel, Marius Lindauer, Frank Hutter, Katharina Eggensperger
Published in: Journal of Open Source Software, Issue 9, 2024, ISSN 2475-9066
Publisher: The Open Journal
DOI: 10.21105/joss.06367