Mina Remeli
PhD Student
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Research C
Nan Lu
Hello and welcome to my homepage! I am a postdoctoral researcher at the Foundations of Machine Learning Systems Group, Department of Computer Science, University of Tübingen, working with Prof. Bob Williamson. I obtained my Ph.D. in Computer Science from the University of Tokyo in 2021, advised by...
Systems of Precision - Intersectionality meets Measurability
The usual way probability theory is used is that you posit an algebra of events. Each such event has a probability (that is, it is "measurable"). The assumption that the set of events that have a probability is an algebra means that if A and B are both events then "A and B" is also an event (the...
Charlotte Wenner
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Mina Remeli
Hello! My name is Mina, and I'm a PhD student co-supervised by Moritz Hardt and Bob Williamson. I'm interested in the impact of algorithmic systems on society as a whole. You can find me in N.1.019 at MPI-IS, Tübingen! Personal webpage
Risk Measures and Upper Probabilities: Coherence and Stratification
Fröhlich, Christian, and Robert C Williamson. 2024. “Risk Measures and Upper Probabilities: Coherence and Stratification”. Journal of Machine Learning Research 25 (207): 1-100.
Decision making, symmetry and structure: Justifying causal interventions
Johnston, David O., Cheng Soon Ong, and Robert C. Williamson. 2025. “Decision Making, Symmetry and Structure: Justifying Causal Interventions”. Journal of Causal Inference 13.
The Rhetoric of Machine Learning
Williamson, Robert C. 2024. “The Rhetoric of Machine Learning”. In Persuasive Algorithms? A Symposium on the Rhetoric of Generative AI.