Machine Learning group
The (probabilistic) machine learning group is led by Isabel Valera, Professor of Machine Learning at Saarland University, Adjunct Faculty of the MPI-SWS and research fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS).
We develop cutting-edge trustworthy machine learning methods to be deployed in the real-world. Our research can be broadly categorized in three main topics: fair, interpretable and robust machine learning. We are an active and diverse research team, with interests in a wide range of ML approaches including deep learning, probabilistic modeling, causal inference, time series analysis, and many more.
Our research has a strong societal component and can be applied in a broad range of application domains, from medicine and psychiatry to social and communication systems. As an example, our recent research has focused on algorithmic decision making in several domains, including hiring processes, pre-trial bail, or loan approval.
Auf Deutsch:
Die Machine Learning Gruppe wird von Isabel Valera geführt, die sowohl Professorin für Machine Learning and der Universität des Saarlandes (UdS), auch zur Fakultät des MPI-SWS gehört, und Research Fellow des European Laboratory for Learning and Intelligent Systems (ELLIS) ist.
Die Gruppe entwickelt innovative und vertrauenswürdige Machine Learning Methoden für den Einsatz in der echten Welt. Unsere Forschung kann grob in drei Hauptbereiche eingeteilt werden: faires, interpretierbares, bzw. robustes maschinelles lernen. Wir sind ein aktive und diverses Forschungsteam, und unsere Interessen umfassen eine große Auswahl von Herangehensweisen an das Maschinelle Lernen, wie etwa Deep Learning, probabilistische Modellierungen, Causal Inference, time series analysis, und weitere.
Unsere Forschung hat eine starke gesellschaftliche Komponente und kann in einer großen Auswahl an Anwendungsgebieten eingesetzt werden. Beispielsweise befasst sich unsere Forschung mit dem algorithmischen Treffen von Entscheidungen das in Gebieten wie dem Einstellungsprozess oder Darlehnsantragsbewilligungen stattfindet.
News
Deborah Kanubala is co-organizing Deep Learning Indaba
The Deep Learning Indaba is an annual gathering of African ML community, aiming to strengthen machine learning in Africa. This year's conference runs from September 3rd to 9th. Our PhD student, Deborah D. Kanubala, is part of the organising team, serving on the...
Acceptance of the Algorithmic Fairness Workshop at NEURIPS2023
The NeurIPS Conference announced the accepted workshops, among which is the "Algorithmic Fairness through the Lens of Time" workshop, which is co-organized by our PhD student Miriam Rateike. Follow the workshops Twitter page to stay up-to-date!
Contribution by Our Group to the Proceedings of the Conference on Discrimination and AI
Our PhD student Miriam Rateike contributed a chapter on fair AI to the Proceedings of the conference on discrimination and AI, which were now published by the "Institut für Recht und Digitalisierung Trier". The announcement tweet is linked here: Miriam Rateike's Tweet...
Members
