PROGRAM
Accepted papers have been published in PMLR at: Volume 92: Proceedings of 2018 KDD Workshop on Causal Discovery (http://proceedings.mlr.press/v92/)
Time:
8:00AM – 12:00PM, August 20, 2018
|
8:00 -8:10 |
Opening and Welcome
Dr. Thuc Le, University of South Australia |
|
8:10 – 9:00 |
Invited talk
:
Learning Causal Effects: Bridging Instruments and Backdoors
Dr. Ricardo Silva, University College London |
|
9:00 – 9:20 |
Automated Identification of Causal Moderators in
Time-Series Data (pdf)
Min Zheng, Jan Claassen, and Samantha Kleinberg |
|
|
Causal Relationship Prediction with Continuous Additive Noise Models (pdf)
Mandar Chaudhary and Nagiza Samatova |
|
9:40 – 10:00 |
-------- Coffee Break -------- |
|
10:00 – 10:50 |
Invited Talk:Answering (some) Ad Hoc Causal Questions in Web Search
Emre Kıcıman, Microsoft Research |
|
10:50 – 11:10 |
Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables
Amit Sharma |
|
11:10 –
11:30 |
Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding (pdf)
Daniel Malinsky and Peter Spirtes |
|
11:30 –
11:50 |
Evaluation of Causal Structure Learning Methods on Mixed Data Types (pdf)
Vineet Raghu, Allen Poon, and Takis Benos |
|
11:50
– 12:00 |
Closing |