Time and place

Seminar: Fr, 10-12h, SR 125, Ernst-Zermelo-Str. 1
Preregistration:
Preliminary Meeting 18.10.
Preparation meetings for talks: Dates by arrangement

Teaching

Teacher: Thorsten Schmidt
Assistant: Moritz Ritter
Language: Talk/participation possible in German and English

Content

This seminar will focus on theoretical machine learning results, including modern universal approximation theorems, approximation of filtering methods through transformes, application of machine learning methods in financial markets and possibly other related topics. Moreover, we will cover topics in stochastic analysis, like fractional Ito calculus, uncertainty, filtering and optimal transport. You are also invited to suggest related topics.

Previous knowledge

Required: Basic Probability and either Machine Learning or Probability Theory II (Stochastic Processes).

Usability

Elective in Data
Mathematical Seminar

Seminar
Preregistration:
Preliminary Meeting 08.07., 12:30, Raum 209, Hermann-Herder-Str. 10
Preparation meetings for talks: Dates by arrangement

Teaching

Teacher: Sören Bartels
Assistant: Tatjana Schreiber
Language: Talk/participation possible in German and English

Content

Machine-learning methods have recently been used to approximate solutions of partial differential equations. While in some cases they lead to advantages over classical approaches, their general superiority is widely open. In the seminar we will review the main concepts and recent developments.

Previous knowledge

Introduction to Theory and Numerics for PDEs

Usability

Elective in Data
Mathematical Seminar

Time and place

Seminar: Mi, 10-11: 30h, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Preregistration:
Preliminary Meeting 17.07., HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26

Teaching

Teacher: Harald Binder
Language: Talk/participation possible in German and English

Content

To answer complex biomedical questions from large amounts of data, a wide range of analysis tools is often necessary, e.g. deep learning or general machine learning techniques, which is often summarized under the term ``Medical Data Science''. Statistical approaches play an important rôle as the basis for this. A selection of approaches is to be presented in the seminar lectures that are based on recent original work. The exact thematic orientation is still to be determined.

Previous knowledge

Good knowledge of probability theory and mathematical statistics.

Usability

Elective in Data
Mathematical Seminar