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Events Archive

13

Aug

Workshop • Professor-Huber-Platz 2

Link to 5th MCML Workshop on Causal Machine Learning

5th MCML Workshop on Causal Machine Learning

Organized by Our PI Stefan Feuerriegel and His Team

Causal inference has become highly important in many fields, such as medicine or marketing, and has received increasing attention from researchers in machine learning in recent years. The MCML …

27

Jul


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31

Jul

Workshop • LMU Munich

Link to Summer School on Imprecise Probabilities 2026

Summer School on Imprecise Probabilities 2026

A Five-Day Program for Researchers

The Chair of Artificial Intelligence and Machine Learning (AIML) of our PI Eyke Hüllermeier, Institute of Informatics, and AG Augustin, Department of Statistics, both at LMU Munich, invite to their …

16

Jul

Workshop • ZEPP

Link to Normative Ethics and Artificial Intelligence

Normative Ethics and Artificial Intelligence

Munich–Oxford Workshop on the Normative Foundations of AI Ethics

On 16 July 2026, philosophers from LMU Munich and the University of Oxford will come together for a one-day pre-read workshop at LMU Munich. The workshop follows a pre-read format: draft papers will be …

07

Jul

Pitchtalk Series • SAP Labs Garching

Link to MCML Pitchtalks With SAP

MCML Pitchtalks With SAP

Join Us for Networking and Insights

On July 7, we visit SAP Labs in Garching for another edition of our Industry Pitch Talks. There will be talks on recent AI research and applications by SAP, as well as by our members. The event takes …

04

Jul

Workshop • San Diego

Link to ACL 2026 Workshop on Evaluating Evaluations

ACL 2026 Workshop on Evaluating Evaluations

Co-Organized by MCML Junior Member Jan Batzner

The ACL 2026 Workshop on Evaluating Evaluations (EvalEval) will take place on July 4, 2026, in San Diego. The workshop focuses on the practical challenges of evaluating generative AI systems and …

03

Jul

Colloquium • LMU Munich

Link to Wasserstein-Cramér-Rao Theory of Unbiased Estimation

Wasserstein-Cramér-Rao Theory of Unbiased Estimation

Bodhisattva Sen, Columbia University

This lecture introduces a new framework for evaluating statistical estimators. While the classical Cramér–Rao theory focuses on the variance of an estimator - that is, how much its estimates vary …

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