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Machine learning is about forecasting. Forecasts, however, obtain their usefulness only through their evaluation. Machine learning has traditionally focused on types of losses and their corresponding regret. Currently, the machine learning community regained interest in calibration. In this project...

Feel free to contact me at University of Tübingen Department of Computer Science Maria von Linden Str. 6 72076 Tübingen Germany laura [dot] iacovissi [at] uni-tuebingen [dot] de or check out my profiles: ​ Google Scholar ​ Github LinkedIn

Welcome to my webpage! Since November 2021, I have been a PhD student at the Foundations of Machine Learning group. Previously, I worked as a research intern at the Max Planck Institute for Intelligent Systems with Dr. Caterina De Bacco, applying statistical physics to network science problems. I...

We are pleased to announce that the 2nd Workshop on Learning Under Weakly Structured Information will be held at the Tübingen AI Center. After the first edition in 2024, organized by Hannah Blocher and Christoph Jansen from LMU Munich, the FMLS group at the University of Tübingen will host this...

Hi there, I’m Ben! B y asking foundational questions about machine learning and its use, I hope to help shaping the development and deployment of `artificial intelligence´ in a way that is beneficial and not harmful to society. I have been thinking especially about the interpretation and evaluation...

Below is a list of possible thesis projects within the FMLS group. These should be considered starting points only. An essential part of doing a thesis is the formulation and refinement of the problem itself. Bachelor/Master: Mixability Regions - Extending the Scope of an Algorithm Solving the...