The 2021 ACM SIGKDD Workshop on Causal Discovery
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CD 2021 PROGRAM
Accepted papers will be published in PMLR at:
Volume 150: Proceedings of 2020 KDD Workshop on Causal Discovery (http://proceedings.mlr.press/v150/)
Time (Singapore timezone) : 8:00AM – 12:00PM, August 15, 2021
8:00 -8:05
Opening and Welcome
8:05 – 9:00
Keynote Talk: Learning Causality and Using Causality for Learning
Prof. Kun Zhang, Carnegie Mellon University
9:00 - 9:25
Interactive Causal Structure Discovery in Earth System Sciences
Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella and Kai Puolamäki
9:25 – 9:50
A Recursive Markov Boundary-Based Approach to Causal Structure Learning
Ehsan Mokhtarian, Sina Akbari, Amiremad Ghassami and Negar Kiyavash
9:50 – 10:05
-------- Coffee Break --------
10:05 – 11:00
Keynote Talk: LiNGAM approach to causal discovery
Prof. Shohei Shimizu, Shiga University and RIKEN
11:00 – 11:25
Estimating individual-level optimal causal interventions combining causal models and machine learning models
Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara and Shohei Shimizu
11:25 – 11:50
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials
Eric Strobl and Shyam Visweswaran
11:50 – 12:00
Closing
Accepted papers will be published in PMLR at:
Volume 150: Proceedings of 2020 KDD Workshop on Causal Discovery (http://proceedings.mlr.press/v150/)
Time (Singapore timezone) : 8:00AM – 12:00PM, August 15, 2021
8:00 -8:05
Opening and Welcome
8:05 – 9:00
Keynote Talk: Learning Causality and Using Causality for Learning
Prof. Kun Zhang, Carnegie Mellon University
9:00 - 9:25
Interactive Causal Structure Discovery in Earth System Sciences
Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella and Kai Puolamäki
9:25 – 9:50
A Recursive Markov Boundary-Based Approach to Causal Structure Learning
Ehsan Mokhtarian, Sina Akbari, Amiremad Ghassami and Negar Kiyavash
9:50 – 10:05
-------- Coffee Break --------
10:05 – 11:00
Keynote Talk: LiNGAM approach to causal discovery
Prof. Shohei Shimizu, Shiga University and RIKEN
11:00 – 11:25
Estimating individual-level optimal causal interventions combining causal models and machine learning models
Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara and Shohei Shimizu
11:25 – 11:50
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials
Eric Strobl and Shyam Visweswaran
11:50 – 12:00
Closing