[Statlist] Subject: CUSO-MLSTATS Summer School on Statistical Machine Learning

[Hanna Sophia Wutte]

Dear colleagues,


We are excited to announce CUSO-MLSTATS, an extended summer school on 
topics of statistical machine learning, jointly organized by the CUSO 
and the ETH domain.

This summer school brings together statisticians and mathematicians with 
a common interest in machine learning. Topics covered range from the 
mathematical and statistical theory of deep neural networks to 
interpretable machine learning and anytime valid inference. The schools 
consist of courses by the following lecturers:

* Prof. Gitta Kutyniok, Ludwig Maximilian University of Munich
* Prof. Aaditya Ramdas, Carnegie Mellon University
* Prof. Johannes Schmidt-Hieber, University of Twente
* Prof. Bin Yu, University of California, Berkeley

Please see our conference website (https://mlstats2022.epfl.ch/) and the 
CUSO website (https://statistique.cuso.ch/activites) for more details.

This is a joint event of CUSO and MLSTATS aimed to build bridges accross 
Röstigraben and beyond.
Looking forward to seeing many of you there!


Sincerely,

Hanna Sophia Wutte

-- 
Hanna Sophia Wutte
PhD. Candidate
Department of Mathematics

ETH Zurich