8:00 -8:10

Opening and Welcome

8:10 – 9:10

Invited talk : Advances in Causal-Based Feature Selection (slides)

Ioannis Tsamardinos

9:10 – 9:35

Constraint-based Causal Discovery with Mixed Data (slides)

Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, and  Ioannis Tsamardinos

9:35 – 10:00

On Causal Analysis for Heterogeneous Networks (slides)

Katerina Marazopoulou, David Arbour, and David Jensen

10:00 – 10:30

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

10:30 – 10:55

Scoring Bayesian Networks of Mixed Variables (slides)

Bryan Andrews, Joseph Ramsey, and Greg Cooper

10:55 – 11:20

Comparison of Strategies for Scalable Causal Discovery of Latent Variable Models from Mixed Data  (slides)

Vineet Raghu,   Joseph Ramsey,  Alison Morris,  Dimitrios Manatakis, Peter Sprites,   Panos K. Chrysanthis, Clark Glymour, and Panayiotis V. Benos

11:20 – 11:45

On Scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing Algorithm (slides)

Konstantinos Tsirlis, Vincenzo Lagani, Sofia Triantafillou, and Ioannis Tsamardinos

11:45 – 12:00

Discussion, Closing