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.

The conference is sponsored by Google, Simons Foundation, the University of Illinois at Urbana–Champaign, University of Michigan, Rutgers University, the University of North Carolina at Chapel Hill, Duke University, Department of Statistics, and Department of Biostatistics at Columbia University.

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