02

Dec

Teaser image to Lunch Talk: Machine Learning Based Time-to-Event Analysis

Lecture

Lunch Talk: Machine Learning Based Time-to-Event Analysis

With MCML Members Andreas Bender and Stefan Feuerriegel

   02.12.2024

   12:15 pm - 1:45 pm

   LMU Center for Advanced Studies, Seestraße 13, 80802 Munich

In many applications the time until an event of interest occurs is an important endpoint. Due to the way such data is collected, however, the outcome of interest can often be observed only partially. Time-to-event analysis (also known as survival analysis) provides techniques to deal with such data. In this talk, we will discuss use-cases, particularly from the medical domain, and how machine learning methods are used in this context.

Speaker: Andreas Bender (MCML/LMU)
Respondent: Stefan Feuerriegel (MCML/LMU)

Organized by:

Department of Statistics LMU Munich


Related

Link to Foundational Methods for Foundation Models for Scientific Machine Learning

Munich AI Lectures  •  09.07.2025  •  Plenarsaal of the Bavarian Academy of Sciences and Humanities (BAdW), Alfons-Goppel-Straße 11, 80539 Munich

Foundational Methods for Foundation Models for Scientific Machine Learning

The Munich AI Lectures on March 26, 2025, will feature Michael Mahoney and cover foundational methods for SciML foundation models.


Link to Festival of the Future 2025

Festival  •  03.07.2025 - 06.07.2025  •  Deutsches Museum, Munich

Festival of the Future 2025

Festival of the Future 2025 takes place from July 3 to 6, 2025, covering AI, sustainability, and space, with Björn Ommer as a speaker.


Link to Bayesian Insights on Polarization and Disagreement

Lecture  •  26.06.2025  •  CAS Seestraße 13 80802 Munich

Bayesian Insights on Polarization and Disagreement

As part of the CAS Research Focus, Leah Henderson explores societal polarization using Bayesian models, offering insights on handling disagreements.