IFML Seminar
IFML Seminar: 05/02/25 - A New Paradigm for Learning with Distribution Shift
Abstract: We revisit the fundamental problem of learning with distribution shift, where a learner is given labeled samples from training distribution D, unlabeled samples from test distribution D′ and is asked to output a...
Upcoming Events
- May212:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We revisit the fundamental problem of learning with distribution shift, where a learner is given labeled samples from training...
Past Events
- February212:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The Gromov-Wasserstein (GW) distance quantifies dissimilarity between metric measure (mm) spaces and provides a natural correspondence between them…
- 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...
