Housing Announcement
A block of double-occupancy dormitory rooms has been reserved on the UW-Madison campus to accommodate out-of-town guests on a first-come-first-served basis. Rooms include linens, towels, fridges, air conditioning, and access to a shared bathroom. Accommodation fees are $25/person per night, with check-in on July 23 and check-out by July 29. To reserve a room, please enter your information here:
https://dorms.cals.wisc.edu/scdorms/group/i/QI45FT62
using the “guest” application type.
TRIPODS MADISON SUMMER SCHOOL 2018
Dates: Tuesday July 24, 2018 to Saturday July 28, 2018
Venue: University of Wisconsin-Madison, Discovery Building, Orchard View Room
Sponsored by: NSF TRIPODS Institutes at the University of Wisconsin-Madison, the University of Washington, and the University of California-Berkeley.
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 cross-disciplinary research within these fields. Topics will include: randomized linear algebra; high-dimensional statistics; interactive machine learning; probability on graphs; continuous optimization; deep learning.
Pre-requisites: 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, Po-Ling 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, UC-Berkeley) 3 lectures, 1 lab
●Topic II: High-dimensional Statistics (Po-Ling Loh, UW-Madison; Anru Zhang, UW-Madison) 2 lectures, no lab
● Topic III: Interactive ML (Rob Nowak, UW-Madison) 2 lectures
● Topic IV: Graphs and Networks (Sebastien Roch, UW-Madison) 2 lectures, 1 lab
● Topic V: Continuous Optimization (Stephen Wright, UW-Madison; Maryam Fazel, U. Washington; Dmitriy Drusvyatskiy, U. Washington) 3 lectures, 1 lab
● Topic VI: Deep Learning (Zaid Harchaoui, U. Washington) 1 lecture+2 labs.
● Topic I: Randomized Linear Algebra (Michael Mahoney, UC-Berkeley) 3 lectures, 1 lab
●Topic II: High-dimensional Statistics (Po-Ling Loh, UW-Madison; Anru Zhang, UW-Madison) 2 lectures, no lab
● Topic III: Interactive ML (Rob Nowak, UW-Madison) 2 lectures
● Topic IV: Graphs and Networks (Sebastien Roch, UW-Madison) 2 lectures, 1 lab
● Topic V: Continuous Optimization (Stephen Wright, UW-Madison; 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
| 9:00-10:30 | Lecture | I: Rand Lin Alg |
| 10:30-11:00 | Break | |
| 11:00-12:30 | Lecture | I: Rand Lin Alg |
| 12:30-2:00 | Lunch | |
| 2:00-3:30 | Lecture | II: High-Dim Stats |
| 3:30-4:00 | Break | |
| 4:00-5:15 | Problem Session / Lab | I: Rand Lin Alg |
| 5:15-6:30 | Poster Session / Reception | WID Optimization Area |
Wednesday July 25
| 9:00-10:30 | Lecture | I: Rand Lin Alg |
| 10:30-11:00 | Break | |
| 11:00-12:30 | Lecture | Lecture II: High-Dim Stats |
| 12:30-2:00 | Lunch | |
| 2:00-3:30 | Lecture | III: Interactive ML |
| 3:30-4:00 | Break | |
| 4:00-5:15 | Lecture | III: Interactive ML |
Thursday July 26
| 9:00-10:30 | Lecture | IV: Graphs and Nets |
| 10:30-11:00 | Break | |
| 11:00-12:30 | Lecture | IV: Graphs and Nets |
| 12:30-2:00 | Lunch | |
| 2:00-3:30 | Lecture | V: Continuous Opt |
| 3:30-4:00 | Break | |
| 4:00-5:15 | Problem Session / Lab | IV: Graphs and Nets |
Friday July 27
| 9:00-10:30 | Lecture | V: Continuous Opt |
| 10:30-11:00 | Break | |
| 11:00-12:30 | Lecture | V: Continuous Opt |
| 12:30-2:00 | Lunch | |
| 2:00-3:30 | Lecture | VI: Deep Learning |
| 3:30-4:00 | Break | |
| 4:00-5:15 | Problem Session / Lab | V: Continuous Opt |
| 6:30-9:00 | Games Night (Board Games, Junk Food, and Fun) | WID Optimization Area |
Saturday July 28
| 9:00-10:30 | Lecture/Lab | VI: Deep Learning |
| 10:30-11:00 | Break | |
| 11:00-12:30 | Lab | VI: Deep Learning |
| 12:30-12:45 | Closing |