Mathematics of Data
Seminar

Wednesday, Sep 18th, 2019, 11:00
Vladimir Temlyakov (University of South Carolina)
Supervised learning and sampling error of integral norms in function classes
MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

Wednesday, Oct 23rd, 2019, 11:00
Věra Kůrková (Institute of Computer Science, Czech Academy of Sciences, Czech Republic)
Lower Bounds on Complexity of Shallow Networks
MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

Courses

Summer term 2019

Nihat Ay: Artificial Neural Networks and Machine Learning: Theoretical Foundations II
MPI MIS Leipzig, room A3 02, Thursday 11:15, starting April 18

Jürgen Jost: Information and Complexity
MPI MIS Leipzig, room A3 02, Friday 13:30, starting April 26

Mateusz Michałek, Bernd Sturmfels: Invitation to Nonlinear Algebra
MPI MIS Leipzig, room G3 10, block course, details see link

Workshops

October 24 - 25, 2019
Computational and Mathematical Methods in Data Science
Organisators: Tim Conrad (FU Berlin), Gitta Kutyniok (TU Berlin), Christof Schütte (ZIB), and Martin Stoll (University of Chemnitz)
Zuse Instutite Berlin (ZIB)

March 30 - April 03, 2020
Spring School of Mathematical Statistics
Organiser: Carlos Améndola, Eliana Duarte Gelvez, Orlando Marigliano
MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

 
Initiators Nihat Ay, Christiane Görgen, Guido Montúfar, André Uschmajew 
Aim Data, in its many forms and across various disciplines, is becoming an essential source for research in the 21st century. In fact, data driven knowledge extraction nowadays constitutes one of the core paradigms for scientific discovery. Therefore, the development of efficient techniques for the integration of large data sets is more necessary than ever. Mathematics offers efficient methodologies from its various well-developed subfields for achieving this goal. Recognising the broad scientific expertise at the Max Planck Institute for Mathematics in the Sciences within the scope of data science, our initiative aims at bundling the corresponding efforts and activities in order to consolidate and advance research on Mathematics of Data.
Participating Groups Information Theory of Cognitive Systems
Nihat Ay

Algebraic Statistics
Christiane Görgen

Geometry and Complex Systems
Jürgen Jost

Deep Learning Theory
Guido Montúfar

Opinion dynamics and cultural Conflict in European Spaces
Eckehard Olbrich

Structure of Evolution
Matteo Smerlak

Bioinformatics (Leipzig University)
Peter F. Stadler

Nonlinear Algebra
Bernd Sturmfels

Tensors and Optimization
André Uschmajew

 


Imprint