Events Calendar

AI Seminar: Computerized Search for Causal Relations in High Dimensional Data: Some Results and Many Problems

Speaker: Clark Glymour , Alumni University Professor, Carnegie Mellon University

Talk Title: Computerized Search for Causal Relations in High Dimensional Data: Some Results and Many Problems

Series: Artificial Intelligence Seminar

Abstract: I will briefly review the graphical causal model framework and describe some of the search strategies that have proved practical in small dimensional problems. Then I will describe some of the modifications we have recently pursued at Carnegie Mellon to allow search in high dimensional problems, e.g, 50.000 - 1,000,000 variables, with sample sizes orders of magnitude smaller, and some of the many problems we have not satisfactorily solved.

Biography: Clark Glymour is the Alumni University Professor in the Department of Philosophy at Carnegie Mellon University. He is also a senior research scientist at the Florida Institute for Human and Machine Cognition. He is the founder of the Philosophy Department at Carnegie Mellon University, a Guggenheim Fellow, a Fellow of the Center for Advanced Study in Behavioral Sciences a Phi Beta Kappa lecturer, and is a Fellow of the statistics section of the AAAS. Glymour and his collaborators created the causal interpretation of Bayes nets and developed an automated causal inference algorithm implemented as software named TETRAD. His areas of interest include epistemology (particularly Android epistemology), machine learning, automated reasoning, psychology of judgment, and mathematical psychology.

Host: Kun Zhang

More Info: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=ebaa5ed5e1444cbfa7aea272f321509d1d

Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=ebaa5ed5e1444cbfa7aea272f321509d1d

Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=ebaa5ed5e1444cbfa7aea272f321509d1d

Audiences: Everyone Is Invited

Contact: Peter Zamar

Event Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=ebaa5ed5e1444cbfa7aea272f321509d1d