Mathematical Machine Learning
Head:
Guido Montúfar (Email)
Phone:
+49 (0) 341 - 9959 - 880
Fax:
+49 (0) 341 - 9959 - 658
Address:
Inselstr. 22
04103 Leipzig
Seminars 2019
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
23.07.2019, 10:00 Uhr, Deep Learning Summer Seminar
- Thomas Merkh (MPI MIS, Leipzig + Department of Mathematics, UCLA)
- Theoretical Properties of Feedforward Networks, Factorized Mutual Information, and more
23.07.2019, 10:45 Uhr, Deep Learning Summer Seminar
- Alex Tong Lin (MPI MIS, Leipzig + Department of Mathematics, UCLA)
- Affine Natural Proximal Learning
23.07.2019, 11:40 Uhr, Deep Learning Summer Seminar
- Pradeep Kumar Banerjee (MPI MIS, Leipzig)
- On neural network based estimators of the mutual information
23.07.2019, 12:35 Uhr, Deep Learning Summer Seminar
- Domenico Felice (MPI MIS, Leipzig)
- Towards a canonical divergence within Information Geometry
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.