Overparametrization and the bias-variance dilemma

04.04.2022 16:45 - 17:45


For several machine learning methods such as neural networks, good generalisation performance has been reported in the overparametrized regime. In view of the classical bias-variance trade-off, this behaviour is highly counterintuitive. The talk summarizes recent theoretical results on overparametrization and the bias-variance trade-off. This is joint work with Alexis Derumigny.

Underlying paper:

Personal website of Johannes Schmidt-Hieber


The talk also can be joined online via our ZOOM MEETING

Meeting room opens at: April 04, 2022, 4.30 pm Vienna

Meeting ID: 619 4329 4932

Password: 961880

HS 7 OMP1 (#1.303)