13.03.08 14.03.08

Geometric Aspects of Conditional Independence and Information

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.


Imre Csiszár

Hungarian Academy of Sciences, Hungary

A. Philip Dawid

University College London, United Kingdom

Steffen Lauritzen

University of Oxford, United Kingdom

Jason Morton

Stanford University, USA

Carles Padró

Universitat Politècnica de Catalunya, Spain

Dénes Petz

Hungarian Academy of Sciences, Hungary

Thomas Richardson

University of Washington, USA

Milan Studený

Academy of Sciences of the Czech Republic, Czech Republic

Bernd Sturmfels

University of California at Berkeley, USA

Andreas Winter

University of Bristol, United Kingdom


08:50 - 09:20
09:20 - 09:30
09:30 - 10:30 Bernd Sturmfels (University of California at Berkeley, USA)
Marginal Likelihood Integrals for Mixtures of Independence Models
10:30 - 11:30 Steffen Lauritzen (University of Oxford, United Kingdom)
Exponential families with semigroup-valued sufficient statistics
11:30 - 13:30
13:30 - 14:30 Thomas Richardson (University of Washington, USA)
Factorization criteria for Markov models induced by directed acyclic graphs via marginalization
14:30 - 15:30 Milan Studený (Academy of Sciences of the Czech Republic, Czech Republic)
Some remarks on algebraic approach to learning Bayesian nets
15:30 - 16:00
16:00 - 17:00 Nihat Ay (MPI MiS Leipzig, Germany)
A Refinement of the Common Cause Principle
17:00 - 18:00 Andreas Winter (University of Bristol, United Kingdom)
Counterexamples to additivity of minimum output p-Renyi entropies of channels, for parameter p>2, p>1 and p near 0
19:00 - 20:00
08:15 - 08:45
08:45 - 09:45 A. Philip Dawid (University College London, United Kingdom)
Decision Geometry
09:45 - 10:45 Imre Csiszár (Hungarian Academy of Sciences, Budapest, Hungary), František Matúš
On minimization of entropy functionals under moment constraints
10:45 - 11:00
11:00 - 12:00 Jason Morton (Stanford University, USA)
Relations among conditional probabilities
12:00 - 14:00
14:00 - 15:00 Carles Padró (Universitat Politècnica de Catalunya, Spain)
Optimizing secret sharing schemes for general access structure
15:00 - 15:45 František Matúš (Academy of Sciences of the Czech Republic, Prague, Czech Republic)
Entropy functions, information inequalities and polymatroids
15:45 - 16:00
16:00 - 17:00 Dénes Petz (Hungarian Academy of Sciences, Budapest, Hungary)
From f-divergence to quantum quasi-entropy

Scientific Organizers

Nihat Ay

Max Planck Institute for Mathematics in the Sciences, Leipzig

František Matúš

Academy of Sciences of the Czech Republic, Prague

Administrative Contact

Antje Vandenberg

Max-Planck-Institut für Mathematik in den Naturwissenschaften Contact via Mail