Geometric Aspects of Conditional Independence and Information

March 13 - 14, 2008
Max Planck Institute for Mathematics in the Sciences

Workshop Topics

  1. Algebraic statistics, algebraic varieties and conditional independence.
  2. Causality, Bayesian networks and graph separation criteria for conditional independence.
  3. Learning, causal (conditional) independence, causal information flows and networks.
  4. Geometric aspects of information, decision and entropic quantities.
  5. Information-theoretical inequalities and their applications in information theory, networks, cryptology and quantum settings.

Date and Location

March 13 - 14, 2008
Max Planck Institute for Mathematics in the Sciences
Inselstraße 22
04103 Leipzig
Germany
see travel instructions

Scientific Organizers

Nihat Ay
Max Planck Institute for Mathematics in the Sciences
Information Theory of Cognitive Systems Group
Leipzig
Contact by Email

František Matúš
Academy of Sciences of the Czech Republic
Institute of Information Theory and Automation
Prague
Contact by Email

Administrative Contact

Antje Vandenberg
Max Planck Institute for Mathematics in the Sciences
Contact by Email

05.04.2017, 12:42