Events

09/16/
2024
Monday
4:00pm
University of Texas at Austin
Efficient Algorithms for Domain Adaptation

We revisit the fundamental problem of domain adaptation, where a learner is given labeled samples from training distribution D, unlabeled samples from test distribution D′ and is asked to output a classifier with low test error. 

09/30/
2024
Monday
4:00pm
Boston University
TBA
10/14/
2024
Monday
4:00pm
MIT
TBA
10/21/
2024
Monday
4:00pm
University of California, Berkeley
Multivariate nonparametric regression using mixed partial derivatives

I will describe methods for multivariate nonparametric estimation based on constraining mixed partial derivatives.

10/28/
2024
Monday
4:00pm
Cornell University
TBA
11/11/
2024
Monday
4:00pm
University of California, San Diego
TBA
11/18/
2024
Monday
4:00pm
University of California, Los Angeles
Recent Results on Mean Field Games, Optimal Transport, and In-Context Learning

We have recently been developing algorithms related to mean field games, optimal transport, in-context learning, score based generative models and links between Laplace’s method, the Moreau envelope and Hamilton-Jacobi equations. I will try to give a coherent talk including many of these...

12/02/
2024
Monday
4:00pm
University of California, San Diego
TBA