2022 Program for Women and Mathematics: The Mathematics of Machine Learning

Schedule

Saturday, May 21

Topic: Registration
Time/Room: 3:00 pm - 7:00 pm/Simon's Hall, Dilworth Room

Topic: Introductions
Time/Room: 4:30 pm - 5:00 pm/Simon's Hall, Dilworth Room

Topic: Dinner
Time/Room: 5:00 pm - 7:00 pm/Simon's Hall, Dilworth Room

Sunday, May 22

Topic: Breakfast
Time/Room: 8:00 am - 10:00 am/Simon's Hall, Dilworth Room

Topic: Terng Lecture Course Preview
Speaker: Lesia Semenova, Duke University
Time/Room: 10:00 am - 11:00 am/Simonyi Hall Lecture Hall 101
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-17

Topic: Uhlenbeck Lecture Course Preview
Speaker: Ellen Vitercik, University of California, Berkeley
Time/Room: 11:15 am - 12:15 pm/Simonyi Hall Lecture Hall 101
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-18

Topic: Lunch
Time/Room: 12:15 pm - 2:00 pm/Simon's Hall, Dilworth Room

Topic: Math Carnival
Time/Place: 2:00 pm - 4:00 pm/Princeton Public Library

Topic: Group Introductions (all participants)
Time/Room: 5:00 pm - 6:00 pm/Simon's Hall, Dilworth Room

Topic: Dinner
Time/Room: 6:00 pm - 7:00 pm/Simon's Hall, Dilworth Room

Monday, May 23
Topic: Breakfast
Time/Room: 8:00 am - 9:00 am/Simon's Hall, Dilworth Room

Topic: Group photo
Time/Room: 9:00 am/Back of Fuld Hall outside

Topic: Terng Lecture: Introduction to Interpretable Machine Learning
Speaker: Cynthia Rudin, Duke University
Time/Room: 9:15 am - 10:15 am/Simonyi Hall Lecture Hall 101
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning

Topic: Uhlenbeck Lecture: Foundations for Learning in the Age of Big Data
Speaker: Maria Florina Balcan, Carnegie Mellon University
Time/Room: 10:30 am - 11:30 am/Simonyi Hall Lecture Hall 101
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-3

Topic: Colloquium: Learning Generalizable Visual Representations
Speaker: Kate Saenko, Boston University
Time/Room: 11:45 am - 12:45 pm/Simonyi Hall Lecture Hall 101/Remote
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-7

Topic: Lunch
Time/Room: 1:00 pm - 2:00 pm/Simon's Hall, Dining Hall

Topic: Review/Problem Sessions
Speakers: Lesia Semenova, Duke University and Ellen Vitercik, University of California, Berkeley
Time/Room: 2:00 pm - 4:00 pm/Simonyi Hall Lecture Hall 101

Topic: Tea
Time/Room: 4:00 pm - 4:30 pm/Fuld Hall Common Room

Topic: Young Researchers Seminar
Speakers: Melanie Weber, Anna Ma, Courtney Paquette
Time/Room: 4:30 pm - 5:30 pm/Simonyi Hall Lecture Hall 101
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-13

Topic: Dinner
Time/Room: 5:45 pm - 7:00 pm/Simon's Hall, Dilworth Room

Tuesday, May 24

Topic: Breakfast
Time/Room: 8:00 am - 9:00 am/Simon's Hall, Dilworth Room

Topic: Terng Lecture: Introduction to Interpretable Machine Learning
Speaker: Cynthia Rudin, Duke University
Time/Room: 9:15 am - 10:15 am/Simonyi Hall Lecture Hall 101
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-0

Topic: Special Talk: Interpreting Deep Neural Networks towards Trustworthiness
Speaker: Bin Yu, University of California, Berkeley
Time/Room: 11:45 am - 12:45 pm/Simonyi Hall Lecture Hall 101/Remote
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-8

Topic: Tea
Time/Room: 4:00 pm - 4:30 pm/Fuld Hall Common Room

Topic: Public Lecture - Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Speaker: Cynthia Rudin, Duke University
Time/Room: 4:30 pm - 5:30 pm/Wolfensohn Hall and Remote
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-15

Topic: Dinner
Time/Room: 5:45 pm - 7:00 pm/Simon's Hall, Dilworth Room

Topic: Young Researchers Seminar
Speakers: Mirjeta Pasha, Kara Ycoubou Djima, Jamie Haddock
Time/Room: 7:00 pm - 8:00 pm/Simonyi Hall Lecture Hall 101 and remote
Abstract URL:https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-19

Wednesday, May 25

Topic: Breakfast
Time/Room: 8:00 am - 9:00 am/Simon's Hall, Dilworth Room

Topic: Shuttle to Princeton University
Time/Place: 9:15 am in front of Fuld Hall

Princeton University Day Schedule

Topic: Shuttle back to IAS
Time/Place: 5:45 pm in front of Fine Hall

Topic: Closing Dinner at IAS
Time/Place: 6:00 pm - 7:30 pm/Simon's Hall, Dining Hall

Thursday, May 26

Topic: Special Talk: Stochastic Gradient Descent: where optimization meets machine learning
Speaker: Rachel Ward, University of Texas, Austin
Time/Room: 11:45 am - 12:45 pm/Simonyi Hall Lecture Hall 101/Remote
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-9

Topic: Tea
Time/Room: 4:00 pm - 4:30 pm/Fuld Hall Common Room

Topic: Young Researchers Seminar
Speakers: Alane Lima, Longxiu Huang, Sui Tang
Time/Room: 4:30 pm - 5:30 pm/Simonyi Hall Lecture Hall 101
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-14

Topic: Dinner
*on your own

Friday, May 27

Topic: Young Researcher Seminar
Speakers: Jesse Gronsbell, Rachel Freedman, Harlin Lee
Time/Room: 11:45 am - 12:45 pm/Simonyi Hall Lecture Hall 101/Remote
Abstract URL: https://www.ias.edu/math/wam/events/2022-program-women-and-mathematics-mathematics-machine-learning-16

Topic: Lunch
Time/Room: 1:00 pm - 2:00 pm/Simon's Hall, Dining Hall

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2022 Women and Mathematics

Women+ and Mathematics

Women+ and Mathematics

2022 Program for Women and Mathematics: The Mathematics of Machine Learning