Zusammenfassung für den Vortrag am 09.06.2022 (17:00 Uhr)

Math Machine Learning seminar MPI MIS + UCLA

Guang Cheng (UCLA)
Nonparametric Perspective on Deep Learning
Siehe auch das Video dieses Vortrages.

Models built with deep neural network (DNN) can handle

complicated real-world data extremely well, without suffering from the

curse of dimensionality or the non-convex optimization. To contribute to

the theoretical understanding of deep learning, we will investigate the

nonparametric aspects of DNNs by addressing the following questions: (i)

what kind of data can be best learned by deep neural networks? (ii) can

deep neural networks achieve the statistical optimality? (iii) is there any

algorithmic guarantee for obtaining such optimal neural networks? Our

theoretical analysis applies to two most fundamental setup in practice:

regression and classification.


02.12.2022, 10:37