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
- September1111 am - 12 pm
IFML Seminar
Event DetailsAbstract: We introduce a new measure of robustness for statistical estimators, which we call \emph{empirical sensitivity}. An estimator $\hat\theta$ has...
Past Events
- September1512:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Whittle index policy is a powerful tool to obtain asymptotically optimal solutions for the notoriously intractable problem of restless...
- April2812:15 - 1 pm
IFML Seminar
Event DetailsWe discuss the problem of positive-semidefinite extension: extending a partially specified covariance kernel from a subdomain Ω of a rectangular...
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Event Details
Abstract: We demonstrate the power of combining the forward image acquisition model with deep learning solutions for inverse MRI problems...
- April20throughApril22
Workshop
Event DetailsThis workshop aims to bring together researchers with different backgrounds in computer science, machine learning, statistics and math who are...
- April1310 am - 4 pmEvent Details
The Machine Learning Laboratory Research Symposium will showcase the latest cutting-edge work from our students and faculty. We'll have an...
- April134 - 5 pmEvent Details
AI Safety Abstract: Thoughts about AI safety, shaped by a year's leave at OpenAI to work on the intersection of...
