Dienstag, 15.04.2025, 12-13 Uhr in W9-109

 

Dienstag, 29.04.2025, 12-13 Uhr in W9-109

 

Dienstag, 13.05.2025, 12-13 Uhr in W9-109

 

Dienstag, 27.05.2025, 12-13 Uhr in W9-109

 

Dienstag, 10.06.2025, 12-13 Uhr in W9-109

Prof. Dr. Göran Kauermann
Institut für Statistik der Ludwig-Maximilians- Universität München

More on Uncertainty in Machine Learning

The quantification of uncertainty is continuously gaining interest in the machine learning community. Tackling this question can be done with statistical tools, getting back to the foundation of statistics, namely how to cope with uncertainty and ignorance. The talk extends our previous work on this topic and presents some new results and insights. We discuss different sources of uncertainty and advocate an increased use of statistics and statistical methods in the machine learning world. To showcase our view we look at ambiguity in computer linguistics, we sketch the use of statistics in network weight reconstruction and focus on labelling ambiguity. While these examples are heterogeneous, the data centric view and hence its statistical foundation serves as common thread.

 

Dienstag, 24.06.2025, 12-13 Uhr in W9-109

 

Dienstag, 08.07.2025, 12-13 Uhr in W9-109