28.01.2019, 11:00 Uhr, Mathematics of Data Seminar

• Nils Bertschinger (Frankfurt Institute for Advanced Studies - FIAS, Germany)
• A geometric structure underlying stock correlations

14.02.2019, 11:00 Uhr, Mathematics of Data Seminar

• Felix Krahmer (Technische Universität München)
• Blind deconvolution with randomness - convex geometry and algorithmic approaches

07.03.2019, 11:00 Uhr, Mathematics of Data Seminar

• Stefania Petra (Universität Heidelberg)
• Compressed Sensing - From Theory To Practice

10.04.2019, 11:00 Uhr, Mathematics of Data Seminar

• Gabriel Peyré (CNRS and Ecole Normale Supérieure, Paris, France)
• Computational Optimal Transport for Data Sciences

28.05.2019, 11:15 Uhr, Mathematics of Data Seminar

• Nicolas Garcia Trillos (Department of Statistics, University of Wisconsin-Madison, USA)
• The use of geometry to learn from data, and the learning of geometry from data.

16.07.2019, 11:00 Uhr, Mathematics of Data Seminar

• Lamiae Azizi (The University of Sydney)
• A Mathematical trip into the Data Science realm

18.09.2019, 11:00 Uhr, Mathematics of Data Seminar

• Vladimir Temlyakov (University of South Carolina)
• Supervised learning and sampling error of integral norms in function classes

23.10.2019, 11:00 Uhr, Mathematics of Data Seminar

• Věra Kůrková (Institute of Computer Science, Czech Academy of Sciences, Czech Republic)
• Lower Bounds on Complexity of Shallow Networks

14.11.2019, 11:00 Uhr, Mathematics of Data Seminar

• Kathlén Kohn (KTH Royal Institute of Technology, Stockholm)
• The geometry of neural networks

10.12.2019, 16:45 Uhr, Chalk Talk - Math of Data

• Mikhail Belkin (The Ohio State University, USA)
• Chalk Talk: What's next for machine learning? Some thoughts toward a unified theory of supervised inference.