TRIPODS MADISON SUMMER SCHOOL 2018
Dates: Tuesday July 24, 2018 to Saturday July 28, 2018
Venue: University of WisconsinMadison, Discovery Building, Orchard View Room
Sponsored by: NSF TRIPODS Institutes at the University of WisconsinMadison, the University of Washington, and the University of CaliforniaBerkeley.
Description: This summer school will introduce participants to a broad range of fundamental techniques used in modern data science and its applications. The emphasis will be on foundational concepts from statistics, computer science and mathematics with an eye towards fostering crossdisciplinary research within these fields. Topics will include: randomized linear algebra; highdimensional statistics; interactive machine learning; probability on graphs; continuous optimization; deep learning.
Prerequisites: The intended audience for the summer school are advanced graduate students and postdoctoral researchers with a background in statistics, computer science, mathematics or related fields.
Organizing Committee: Maryam Fazel, PoLing Loh, Sebastien Roch, Steve Wright
Applications for the summer school are currently under review. Preference will be given to attendees affiliated with TRIPODS institutes, and to PhD students and postdoctoral researchers. No travel support is available; attendees (or their sponsors) are responsible for their own costs.
TOPICS AND SPEAKERS:
● Topic I: Randomized Linear Algebra (Michael Mahoney, UCBerkeley) 3 lectures, 1 lab
● Topic II: Highdimensional Statistics (PoLing Loh, UWMadison) 2 lectures, no lab
● Topic III: Interactive ML (Rob Nowak, UWMadison) 2 lectures
● Topic IV: Graphs and Networks (Sebastien Roch, UWMadison) 2 lectures, 1 lab
● Topic V: Continuous Optimization (Stephen Wright, UWMadison; Maryam Fazel, U. Washington; Dmitriy Drusvyatskiy, U. Washington) 3 lectures, 1 lab
● Topic VI: Deep Learning (Zaid Harchaoui, U. Washington) 1 lecture+2 labs.
Tuesday July 24
9:0010:30 
Lecture 
I: Rand Lin Alg 
10:3011:00 
Break 

11:0012:30 
Lecture 
I: Rand Lin Alg 
12:302:00 
Lunch 

2:003:30 
Lecture 
II: HighDim Stats 
3:304:00 
Break 

4:005:15 
Problem Session / Lab 
I: Rand Lin Alg 
5:156:30 
Poster Session / Reception 
WID Optimization Area 
Wednesday July 25
9:0010:30 
Lecture 
I: Rand Lin Alg 
10:3011:00 
Break 

11:0012:30 
Lecture 
Lecture II: HighDim Stats 
12:302:00 
Lunch 

2:003:30 
Lecture 
III: Interactive ML 
3:304:00 
Break 

4:005:15 
Lecture 
III: Interactive ML 
Thursday July 26
9:0010:30 
Lecture 
IV: Graphs and Nets 
10:3011:00 
Break 

11:0012:30 
Lecture 
IV: Graphs and Nets 
12:302:00 
Lunch 

2:003:30 
Lecture 
V: Continuous Opt 
3:304:00 
Break 

4:005:15 
Problem Session / Lab 
IV: Graphs and Nets 
Friday July 27
9:0010:30 
Lecture 
V: Continuous Opt 
10:3011:00 
Break 

11:0012:30 
Lecture 
V: Continuous Opt 
12:302:00 
Lunch 

2:003:30 
Lecture 
VI: Deep Learning 
3:304:00 
Break 

4:005:15 
Problem Session / Lab 
V: Continuous Opt 
6:309:00 
Games Night (Board Games, Junk Food, and Fun) 
WID Optimization Area 
Saturday July 28
9:0010:30 
Lecture/Lab 
VI: Deep Learning 
10:3011:00 
Break 

11:0012:30 
Lab 
VI: Deep Learning 
12:3012:45 
Closing 
