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 link.
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
Agenda
Conference
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.
Reception
Banquet
Lunches with Discussion
Event Type
- Affiliate Award Fund Eligible
- NISS Sponsored
Host
Sponsor
Website
Location
Policy
