The 2016 ACM SIGKDD Workshop on Causal Discovery

                                     Held in conjunction with KDD'16                         

August 14, 2016, San Francisco, California

Workshop program

Time: 13:00-17:00, 14 August 2016; 

Venue: Room Yosemite A/B/C, Hilton San Francisco

13:00 -13:05

Opening and Welcome

13.05 – 14:05

Invited talk : Foundations of Causal Discovery  (Slides)

Frederick Eberhardt

14:05 – 14:25

Evaluating Causal Models by Comparing Interventional Distributions (Slides)

Dan Garant and David Jensen

        
    14:25 – 14:45

Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD (Slides)

Elena Sokolova, Daniel von Rhein, Jill Naaijen, Perry Groot, Tom Claassen, Jan Buitelaar and Tom Heskes

     14:45 – 15:05

Identifiability and Transportability in Dynamic Causal Networks (Slides)

Gilles Blondel, Marta Arias and Ricard Gavaldà

    15:05 – 15:25

Weakening Faithfulness: Some Heuristic Causal Discovery Algorithms (Slides)

Zhalama, Jiji Zhang, and Wolfgang Mayer

     15:25 – 15:30

Discussions

 

15:30  – 16:00

-------- Coffee Break --------

16:00 – 16:20

Joint Probabilistic Inference of Causal Structure (Slides)

Dhanya Sridhar and Lise Getoor

16:20 – 16:40

Identifiability of Non-Gaussian Structural VAR Models for Subsampled and Mixed Frequency Time Series (Slides)

Alex Tank, Emily Fox and Ali Shojaie

    16:40 – 16:55

Discussions

 

16:55 – 17:00

Closing