Schedule

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

June

8

Friday
08:30-08:50 Opening
08:50-09:00 Taking Photo

Session 1

09:00-09:35

Causality in General and in Particular

Prof. Clark Glymour,  Carnegie Mellon University

09:35-10:10

Causation: Can the Philosophical and Scientific Conceptions Be Unified?

Prof. Malcolm Forster,  University of Wisconsin-Madison

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

Session 2

10:40-11:15

Discovering Casual Tree from Observable Pairwise Correlations

Prof. Lei Xu,  Shanghai Jiao Tong University

11:15-11:50

A New Perspective on Occam's Razors for Markovian Causal Models

Prof. Jiji Zhang,  Lingnan University

11:50-12:25

Causal Discovery, Prediction, and Control

Prof. Shohei Shimizu,  Shiga University

12:25-14:30 Lunch

Session 3

14:30-15:05

Causal Discovery from Complex Time Series

Prof. David Danks,  Carnegie Mellon University

15:05-15:40

Logic-Based Causal Discovery and Other Advances

Prof. Ioannis Tsamardinos,  University of Crete

15:40-16:10 Coffee Break & Poster Session

Session 4

16:10-16:45

因果路径局部学习算法

Prof. Zhi Geng/Dr. Zheng Cai,  Peking University

16:45-17:20

融合结构学习和因果函数模型的因果网络构建

Prof. Ruichu Cai,  Guangdong University of Technology

17:20-17:55

Causal Modeling, Statistical Independence, and Data Heterogeneity

Prof. Kun Zhang,  Carnegie Mellon University