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

10:00-10:45Chris QuinnLearning and Approximating (Granger) Causal Influences in Networks
10:45-11:00

Coffee Break

11:00-11:45Young-Han Kim

How to Learn Probability without Learning 

11:45-12:30Shohei 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

14:30-15:15Haim Permuter

Causal Conditioning and Directed Information in Engineering Problems

15:15-16:00Michael Eichler

Causal Inference from Multivariate Time Series: Principles and Problems

16:00-16:15

Coffee Break

16:15-17:00Thomas 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
09:15-10:00Frederick Eberhardt

Generalized Constraint Based Causal Discovery and Causal Macro-Variables

10:00-10:45Dominik Janzing

Algorithmic Independence of Cause and Mechanism as a Common Footing of Thermodynamics and Causal Inference

10:45-11:00

Coffee Break

11:00-11:45Elias Bareinboim

Causal Inference and the Data-Fusion Problem

11:45-12:30Discussion 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

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