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
- January2612:15 - 1 pm
IFML Seminar
Event DetailsAbstract: How can we find and apply the best optimization algorithm for a given problem? This question is as old...
- January262 - 4 pmEvent Details
Connecting undergraduate and graduate students with machine learning research opportunities across campus.
- January25All dayEvent Details
The University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world...
- January1912:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Parameter-free optimization studies algorithms that adapt to the problem structure at hand. Specifically, such algorithms are capable of converging…
- December812:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The ever-increasing penetration of level-2 autonomous vehicles (AVs) offers an opportunity to reshape the energy efficiency and throughput of...
- November29throughDecember1
Workshop
Event DetailsJoin us for a three-day IFML Workshop that offers perspectives on Generative AI from leading researchers across academia and industry...
