About the Conference
The Department of Statistics at Texas A&M University will host the CBMS Conference -- Foundations of Causal Graphical Models and Structure Discovery from May 15 to May 19, 2023 supported by the National Science Foundation (NSF DMS-2227849) and Texas A&M Institute for Applied Mathematics and Computational Science (IAMCS). Causal discovery is becoming increasingly more popular in both statistics and machine learning. It is a great tool to generate causal hypotheses and to bring new insights into existing association-based methods.
Dr. Kun Zhang from the Department of Philosophy, Carnegie Mellon University and the Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence, will deliver ten lectures on causal discovery. Tentatively, he will cover representations and usage of causal models, how causality is different from and connected to association, recent machine learning methods for causal discovery, and why and how the causal perspective helps in a number of learning tasks. A tentative plan of the lectures can be found here.
Location and Time
Blocker 169, Texas A&M University, College Station, TX
May 15-19, 2023
Yang Ni (please email your question to yni AT stat.tamu.edu)
The registration fee is $25. Lunches will be provided for the participants. Please register by April 30 at the registration page.
We have negotiated a group room rate of $102 per night for Home2 Suites by Hilton College Station, 300 Texas Ave, College Station, TX 77840. Use this link for reservation.
We have some funds to support travel. Priority is given to junior participants. Underrepresented groups are particularly encouraged to apply. Please submit your recent CV and a support letter from your advisor by March 15 here.
Two interesting conferences will be held in the following week of our CBMS conferences: the American Causal Inference Conference in Austin, TX and the Center for Approximation and Mathematical Data Analytics Conference in College Station, TX.