ADSI Summer Workshop: Algorithmic Foundations of Learning and Control

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

Jointly organized with IFDS, University of Wisconsin - Madison


August 19-21, 2019


Bill & Melinda Gates Center, University of Washington

Invited Speakers

Emo Todorov
University of Washington
Pablo Parrilo
Massachusetts Institute of Technology
Alekh Agarwal
Microsoft Research
Csaba Szepesvári
University of Alberta
Mengdi Wang
Princeton University
Necmiye Ozay
University of Michigan
Ben Recht
University of California, Berkeley
Yishay Mansour
Tel Aviv University
Emma Brunskill
Stanford University
Yinyu Ye
Stanford University
Daniel Russo
Columbia University
Zaid Harchaoui
University of Washington
Vikash Kumar
Google Brain


August 19

9:00-9:45 Lecture: Yinyu Ye
9:45-10:30 Lecture: Mengdi Wang
10:30-11:00 Break
11:00-11:45 Lecture: Ben Recht
11:45-1:30 Lunch
1:30-2:15 Lecture: Alekh Agarwal
2:15-3:00 Lecture: Daniel Russo
3:00-3:30 Break
3:30-4:30 Discussion Session

August 20

9:00-9:45 Lecture: Yishay Mansour
9:45-10:30 Lecture: Emma Brunskill
10:30-11:00 Break
11:00-11:45 Lecture: Emo Todorov
11:45-1:30 Lunch
1:30-2:15 Lecture: Necmiye Ozay
2:15-3:00 Lecture: Zaid Harchaoui
3:00-3:30 Break
3:30-4:30 Discussion Session

August 21

9:00-9:45 Lecture: Pablo Parrilo
9:45-10:30 Lecture: Vikash Kumar
10:30-11:00 Break
11:00-11:45 Lecture: Csaba Szepesvári
11:45-1:30 Lunch


This workshop aims to bring together researchers with different backgrounds in computer science, control theory, statistics and math who are interested in bridging reinforcement learning, control theory, and statistical learning.
The workshop is free to attend.

Registration Form

Organizers: Maryam Fazel (UW), Sham Kakade (UW), Kevin Jamieson (UW), Stephen Wright (Wisconsin)


Questions? Contact us!