Mathematical Statistics and Learning 

29 June - 2 July, 2021 : Barcelona

The meeting aims to bring together leading experts from diverse areas of mathematical statistics and machine learning who are interested in the mathematical foundations of our fields. The common theme of the meeting is modelling and statistical analysis of data from large complex systems, which leads to high-dimensional and structured problems.

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Address:

Casa Convalescència
Sant Antoni Mª Claret, 171
08041 Barcelona

Organizers

Gábor Lugosi (Universitat Pompeu Fabra & ICREA & Barcelona GSE)

Gergely Neu (Universitat Pompeu Fabra)

Caroline Uhler (Massachusetts Institute of Technology)

Frederic Udina (Universitat Pompeu Fabra & Barcelona GSE)

Piotr Zwiernik (Universitat Pompeu Fabra & Barcelona GSE)

Location

Rémi Bardenet (CNRS)

Wicher Bergsma (London School of Economics)

Anna Ben-Hamou (Sorbonne University - UPMC)

Małgorzata Bogdan (University of Wrocław)

Emmanuel Candès (Stanford University)

Nicolò Cesa-Bianchi (University of Milan)

Pedro Delicado (Universitat Politècnica de Catalunya)

Steffen Lauritzen (University of Copenhagen)

Silvio Lattanzi (Google)

Xiaoyi Mai (CNRS)

Andreas Maurer (Istituto Italiano di Tecnologia)

Mohamed Ndaoud (ESSEC, University of Southern California)

Matteo Papini (Universitat Pompeu Fabra)

Benjamin Recht (University of California, Berkeley)

Alessandro Rinaldo (Carnegie Mellon University)

Lorenzo Rosasco (University of Genoa)

Judith Rousseau (University of Oxford)

Alessandro Rudi (INRIA - Paris)

Umut Şimşekli (INRIA - Paris)

 
 

The meeting will take place in Casa Convalescència in Barcelona. The room for the workshop has windows on both sides and all meals can be arranged in the open air. 

 

Our e-mail: msl2020@barcelonagse.eu

 

The list of speakers

SPONSORS

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