Lecture
Analyzing Feature Interactions Through Local Effects in Machine Learning Models
Giuseppe Casalicchio, MCML Junior Member
12.06.2026
12:15 pm - 2:45 pm
LMU Munich, CAS, Seestr. 13, Munich
The Center for Advanced Studies (CAS) is hosting a lecture by MCML Junior Member Giuseppe Casalicchio from LMU Statistics.
In his talk titled “Analyzing Feature Interactions through Local Effects in Machine Learning Models”, Casalicchio shows his research results about interpretable machine learning that develops methods to make complex model predictions understandable through explainable representations of feature effects and their interactions. Giuseppe Casalicchio’s project aims to improve these explanations, assess their reliability, and make them accessible through clear visualizations.
Registration is required and can be completed by sending an email to info@cas.lmu.de.
The event will be responded by MCML PI Anne-Laure Boulesteix.
Organized by:
