IFML Seminar
IFML Seminar: 03/13/26 - Foundations of Reliable Learning with Imperfect Data
Abstract: A central challenge in machine learning is reliability: ensuring that an algorithm’s predictions remain accurate and stable even when the data is noisy, adversarial, or misspecified. This talk presents recent progress on learning...
Upcoming Events
- March1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: A central challenge in machine learning is reliability: ensuring that an algorithm’s predictions remain accurate and stable even when...
Past Events
- September1312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: We consider the problem of model selection in a high-dimensional sparse linear regression model under privacy constraints. We propose...
- September612:15 - 1 pm
IFML Seminar
Event DetailsAbstract: From the moment we open our eyes, we are surrounded by people. By observing the people around us, we...
- August2312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Distribution shifts, where deployment conditions differ from the training environment, are pervasive in real-world AI applications and often…
- August5All dayEvent Details
IFML Director Adam Klivans and IFML Co-director Alex Dimakis discuss DataComp , UT Austin's new Center for Generative AI, and...
- July21throughJuly26Event Details
IFML has partnered with UT Computer Science Summer Academies to launch the Academy for Machine Learning
- May312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: In this talk, I will recount the developmental trajectory of video generation models at Picsart AI Research over the...
