Welcome to the Munich Workshop on Causal Inference and Information Theory (MCI) on May 23rd & 24th 2016

Causal inference (including measures of causality, causal modeling, and structure learning), has received considerable attention in the recent years from researchers in information theory, economics, philosophy, and machine learning. The goal of this workshop is to bring together outstanding researchers from these areas in order to discuss possible interconnections between their viewpoints and approaches.

Confirmed Speakers

Program

Monday, May 23rd
09:00-09:15 Opening Remarks by Gerhard Kramer
09:15-10:00

Kun Zhang

Practical Considerations in Causal Discovery: Confounders, Time-Varying Causal Relations, and Selection Bias
10:00-10:45 Chris Quinn Learning and Approximating (Granger) Causal Influences in Networks
10:45-11:00 Coffee Break
11:00-11:45 Young-Han Kim How to Learn Probability without Learning
11:45-12:30 Shohei Shimizu A non-Gaussian Model for Causal Discovery in the Presence of Hidden Common Causes
12:30-14:30 Lunch Break
Table booked (20 px) at Pizzeria Coccinella, ~7,50 Euro per pizza
14:30-15:15 Haim Permuter Causal Conditioning and Directed Information in Engineering Problems
15:15-16:00 Michael Eichler Causal Inference from Multivariate Time Series: Principles and Problems
16:00-16:15

Coffee Break

 
16:15-17:00 Thomas Richardson Learning Causal Structure in the Presence of Hidden Variables
17:00-18:00 Discussion led by Negar Kiyavash
19:00- Table booked (30 px) at Max Emanuel, a local brewery with a nice beergarden
Tuesday, May 24th
09:15-10:00 Frederick Eberhardt Generalized Constraint Based Causal Discovery and Causal Macro-Variables
10:00-10:45 Dominik Janzing Algorithmic Independence of Cause and Mechanism as a Common Footing of Thermodynamics and Causal Inference
10:45-11:00 Coffee Break
11:00-11:45 Elias Bareinboim Causal Inference and the Data-Fusion Problem
11:45-12:30 Discussion led by Kun Zhang

Directions

Registration

The workshop features invited talks only, attendance is free of charge. If you are interested in attending, please send an email to geiger@ieee.org.

Organizers

  • Negar Kiyavash (University of Illinois Urbana-Champaign and TUM)
  • Gerhard Kramer (TUM)
  • Kun Zhang (Carnegie Mellon University)
  • Bernhard C. Geiger (TUM)
  • Jalal Etesami (University of Illinois Urbana-Champaign and TUM)

Supported by