June 25
Wednesday
Morning session I chair: Kun Zhang
9:00Kenji Fukumizu
Measuring dependence and conditional dependence with kernels
Nevin L. Zhang
Latent Tree Analysis of Unlabeled Data
Coffee break
Morning session II chair: Nevin L. Zhang
10:40Shohei Shimizu
Estimation of causal direction in the presence of latent confounders and linear non-Gaussian structural equation models
Yan Liu
Recent Advances of Granger Causality in Large-scale Time Series Data
Isabelle Guyon
Causal discovery as a machine learning problem: the contribution of challenges
Organized lunch for speakers and free discussions
Afternoon session chair: Jiji Zhang
14:00Zhi Geng
Causal Effect Evaluation and Causal Network Learning
Yi Liu
Emerging causal inference problems in molecular systems biology
Coffee break
15:40Kun Zhang
Learning causal knowledge and learning based on causal knowledge
Po-Ling Loh
High-dimensional learning of linear causal networks via inverse covariance estimation
Karthika Mohan
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data
Panel discussion
17:20End of workshop