Events

February 2023

02/01/
2023
Wednesday
4:00pm
Frederic Koehler
Stanford University
Title: Towards the Statistically Principled Design of ML Algorithms
02/06/
2023
Monday
4:00pm
Raaz Dwivedi
Harvard & MIT
Title: From HeartSteps to HeartBeats: Personalized Decision-making
02/08/
2023
Wednesday
4:00pm
Omar Montasser
Toyota Technological Institute at Chicago
Title: What, When, and How can we Learn Adversarially Robustly?
02/13/
2023
Monday
4:00pm
Matus Jan Telgarsky
University of Illinois Urbana-Champaign
Searching for the implicit bias of deep learning
02/15/
2023
Wednesday
4:00pm
Sinho Chewi
MIT
Title: Towards a theory of complexity of sampling, inspired by optimization
02/20/
2023
Monday
4:00pm
Zhimei Ren
University of Chicago
Title: Stable Variable Selection with Knockoffs
02/22/
2023
Wednesday
4:00pm
Tailin Wu
Stanford University
Learning structured representations for accelerating scientific discovery and simulation
02/23/
2023
Thursday
10:30am
Ilias Zadik
MIT
The price of computational efficiency in high-dimensional estimation
02/27/
2023
Monday
4:00pm
Lu Lu
University of Pennsylvania
Title: Physics-informed deep learning: Blending data and physics for learning functions and operators