Conference on Statistical Learning and Data Science/Nonparametric Statistics 2020 (SLDS 2020)

May 27-29, 2020

SLDS 202 is a bi-annual gathering of top researchers in Statistical Learning, Data Science, and Nonparametric Statistics, and a forum for presentation and discussion of research.

For more information click on the Conference Website & Registration link.

Registration is Now Open!

Please Note the Following Deadlines

February 15th, 2020 - Deadline for Contributed Poster Submissions, Student Paper Competition Submissions, and Student Travel Award Applications

April 15th, 2020 - Early Registration Ends

May 5th, 2020 - Hotel Reservation Ends



Keynote Speakers

Deepak Agarwal (LinkedIn)
ReginaY. Liu (Rutgers)
Jane Ling-Wang (UC Davis)

45+ Sessions

Contributed Posters 

Poster Award

Student Paper Competition

Invited Short Courses

Learning opportunities on the latest advances in data science. ASA SLDS encourages the use of Statistical Learning methods in Data Science applications.

Short Course I (SC1) | Deep Learning in Statistics

Instructor(s): Annie Qu (UC Irvine), Xiao Wang (Purdue University), Edgar Dobriban (University of Pennsylvania)

Short Course II (SC2) | Artificial Intelligence, Machine Learning, and Precision Medicine

Instructor(s): Haoda Fu (Eli Lilly)

Networking Events

A platform to promote young researchers and graduate students. ASA SLDS builds cooperative relationships on behalf of the Association with other organizations that have interests in these fields.



Lunches with Discussion

Event Type


American Statistical Association (SLDS)
American Statistical Association (Nonparametric Statistics Section)


University of California, Irvine
University of Arizona, Tripods
University of Michigan
Columbia University
Two Sigma
National Institute of Statistical Sciences


Hyatt Regency Newport Beach
1107 Jamboree Road
Newport Beach
United States
ASA Nonparametric Statistics Section