The 2019 ACM SIGKDD Workshop on Causal Discovery


August 5, 2019, Alaska



Accepted papers have been published in PMLR at:
Volume 104: Proceedings of 2019 KDD Workshop on Causal Discovery


Time: 8:00AM – 12:00PM, August 05, 2019


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


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

Sandeep Soni, Shawn Ling Ramirez and Jacob Eisenstein


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 --------


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

Ronny Kohavi, Microsoft


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