ADSI Summer School on Foundations of Data Science

Hosted by the Algorithmic Foundations of Data Science Institute
University of Washington

Jointly organized with IFDS, University of Wisconsin - Madison


August 13-17, 2019

Invited Speakers

Courtney Paquette
University of Waterloo
Stochastic Optimization
Jelena Diakonikolas
University of California, Berkeley
Convex Optimization
Yin Tat Lee
University of Washington
Convex Geometry and Sampling
Kevin Jamieson
University of Washington
Online and Active Learning
Rebecca Willett
University of Chicago
Computational Imaging
Sewoong Oh
University of Washington
Information Theory and Deep Learning
Moritz Hardt
University of California, Berkeley
Fairness in Machine Learning
Alekh Agarwal
Microsoft Research AI
Reinforcement Learning
Rob Nowak
University of Wisconsin, Madison
Statistical Learning Theory

Program Organizers

Dmitriy Drusviyatskiy
Program Director
Zaid Harchaoui
Program Director


First four days

9:00-10:30 Lecture
10:30-11:00 Break
11:00-12:30 Lecture
12:30-2:00 Lunch
2:00-3:30 Lecture
3:30-4:00 Break
4:00-6:00 Poster Session /
Reception /
Problem Session

Final day

9:00-10:30 Lecture
10:30-10:45 Break
10:45-12:15 Lecture
12:15-12:30 Closing Remarks
12:30-2:00 Lunch


Prospective attendees are asked to submit an application form. This form, along with the recommendation form to be submitted by an academic reference, is linked below.

Registration for the summer school is $80. The deadline to apply is June 20th. Applicants will be notified of their admission status by July 1st.

Frequently Asked Questions

Where can I find information on accomodation?

There is a wide range of hotels and other housing options available near the University of Washington. Registered attendees are referred to this page, which contains a list of popular housing options for UW visitors.


Questions? Contact us!