Universiteit Leiden

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Lecture | Lunch included

Florence Nightingale Colloquium presents Johannes Schmidt-Hieber

Date
Friday 15 November 2019
Time
Explanation
The seminar is targeted at a broad audience, in particular we invite master students, PhD candidates and supervisors interested or involved in the Data Science Research programme as well as colleagues from LIACS and MI to attend. The seminar is organized by the DSO, MI and LIACS.
Series
Florence Nightingale Colloquium
Location
Snellius
Niels Bohrweg 1
2333 CA Leiden
Room
174

Link to registration form

Prof. dr. Johannes Schmidt-Hieber, Chair of Statistics at the University of Twente

Towards a statistical foundation of deep learning

Recently a lot of progress has been made in the theoretical understanding of deep learning. One of the very promising directions is the statistical approach, which interprets deep learning as a statistical method and builds on existing techniques in mathematical statistics to derive theoretical error bounds. The talk surveys this field and describes future challenges.

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