8:00 -8:10

Opening and Welcome

Prof. Jiuyong Li, University of South Australia

8:10 – 8:30

Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs (pdf)

Eric Strobl

8:30 – 8:50

Improve User Retention with Causal Learning (pdf)

Shuyang Du, James Lee and Farzin Ghaffarizadeh

8:50 – 9:10

Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers (pdf)

Sandeep Soni, Shawn Ling Ramirez and Jacob Eisenstein

9:10 – 9:30

Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data (pdf) (Slides)

Christopher Schmidt, Johannes Huegle, Philipp Bode and Matthias Uflacker

9:30 – 10:00

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

10:00 – 10:50

Invited Talk: Trustworthy Online Controlled Experiments and the Risks of Uncontrolled Observational Studies (Slides)

Ronny Kohavi, Microsoft

10:50 – 11:10

Scaling Causal Inference in Additive Noise Models (pdf) (Slides)

Karim Assaad, Emilie Devijver, Eric Gaussier and Ali AÏt-Bachir

11:10 – 11:30

Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types (pdf) (Slides)

Bryan Andrews, Joseph Ramsey, and Gregory F. Cooper

11:30 – 11:50

Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models (pdf)

Alexander Lin, Amil Merchant, Suproteem Sarkar, and Alexander D'Amour

11:50 – 12:00

Closing