Schedule

The workshop consists of a series of talks, posters, organized dinners, and enough time for discussions. See below for the complete program.



November

23

Saturday

Session Chair: Kun Zhang

08:30-08:40 Opening
08:40-09:00 Taking Photo
09:00-09:45

Causal Inference and its Application to Biology and Medicine

Prof. Xiaohua Zhou,  Peking University

09:45-10:20

Greedy SAT-score search for constraint-based causal discovery

Dr. Tom Claassen,  Radboud University Nijmegen

10:20-10:40 Coffee Break & Poster Session

Session Chair: Sara Magliacane

10:40-11:15

Gradient based causal structure learning

Dr. Shengyu Zhu,  Huawei Noah¡¯s Ark lab

11:15-11:50

Causality, Independence, and Adaptive Prediction

Prof. Kun Zhang,  Carnegie Mellon University

11:50-12:25

From Statistical to Causal Learning

Prof. Mingming Gong,  University of Melbourne

12:25-14:00 Lunch & Poster Session

Session Chair: Ruichu Cai

14:00-14:45

Reasoning and casual computation from a bidirectional intelligence perspective

Prof. Lei Xu,  Shanghai Jiao Tong University

14:45-15:20

Unsupervised domain adaptation by inferring untestable conditional independences through causal inference and theorem proving

Dr. Sara Magliacane,  MIT-IBM Watson AI lab in Cambridge

15:20-15:55

Panel: Causality and AI in China

Prof. Changshui Zhang, Porf. Lei Xu, Porf. Zhifeng Hao, Prof. Weishi Zheng, Prof. Kun Zhang

15:55-16:15 Coffee Break & Poster Session

Session Chair: Mingming Gong

16:15-16:50

Formulas and Symbolic Computations for Counting Markov Equivalent Directed Acyclic Graphs

Prof. Yangbo He,  Peking University

16:50-17:25

Learning Causality and Causality-Related Learning

Prof. Ruichu Cai,  Guangdong University of Technology