IFML Seminar
IFML Seminar: 09/11/26 - Robust Statistical Estimators with Bounded Empirical Sensitivity
Abstract: We introduce a new measure of robustness for statistical estimators, which we call \emph{empirical sensitivity}. An estimator $\hat\theta$ has bounded empirical sensitivity if, with high probability over a dataset $X = (X_1, \dots...
Upcoming Events
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...
