Connectionists: PhD course on Information Geometry in Learning and Optimization

[Christian Igel]

PhD course on Information Geometry in Learning and Optimization

We invite you to participate in an international PhD course on Information Geometry in Learning and Optimization at Copenhagen University, September 22-26, 2014.

The course will provide:

* A crash course on Riemannian geometry and numerical tools for applications of Riemannian geometry
* Introductions to Information Geometry and its role in Machine Learning and Stochastic Optimization

Distinguished speakers:

* Shun'ichi Amari, RIKEN Brain Science Institute
* Nihat Ay, Max Planck Institute for Mathematics in the Sciences and Universität Leipzig
* Nikolaus Hansen, Université Paris-Sud and Inria Saclay – Île-de-France
* Jan Peters, Technische Universität Darmstadt and Max-Planck Institute for Intelligent Systems

For more information, visit the course webpage: http://image.diku.dk/MLLab/IG.php
In order to register, please email Susan Nasirumbi Ipsen at suntonn at di.ku.dk .

The deadline for registration is July 31. Seats are assigned on a first come first serve basis, so please register early.

Best regards,
Aasa Feragen and Christian Igel