<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Hi, everyone<div><br></div><div>tomorrow I'll deliver a tutorial on casual structure discovering in rather traditional AI area. the abstract is as follows</div><div><br></div><div><b>abstract</b></div><div><b><br></b></div><div>The tutorial is about discovering causal structures from observations. While statistical associations between variables can be observed and measured, the underlying causal model and mechanism must be inferred from a pattern of such associations. The talk would be focused on basic concepts and approaches for this task, including constructing and testing causal graphs, dealing with cyclic situations and more. In addition, some state-of-art researches on this topic would also be presented to describe current academic achievements.</div><div><br></div><div>Best,</div><div>Ed</div></body></html>