The Conference on Statistical Learning and Data Science / Nonparametric Statistics is to be held at Columbia University, from June 4 to 6 in 2018.

The main goal of the conference is to bring together researchers in statistical machine learning and data mining from academia, industry, and government in a relaxed and stimulating atmosphere to focus on the development of statistical learning theory, methods and applications.

Topics include, but are not limited to, big data analytics, classification, computational biology, covariance estimation, graphical models, high dimensional data, learning theory, model selection, network analysis, precision medicine, and signal and image processing.

This conference is sponsored by the ASA section on Statistical Learning and Data Science and the ASA section on Nonparametric Statistics, along with a grant from NSF and our friends from both academia and the private sector. See our sponsor page for a full list of our sponsors.

If you have any questions about the conference, contact the Program Chairs, Annie Qu (anniequ@illinois.edu) and Cynthia Rudin (cynthia@cs.duke.edu).