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
- September2312:15 - 1 pm
ML+ X Seminar
Event DetailsAbstract: In this talk I will present applications and new methods for decomposing higher-order moment tensors into appropriate low-rank representations...
- September1612 - 1 pm
IFML Seminar
Event DetailsTitle: A Data-Centric View on Reliable Generalization Abstract: Researchers have proposed many methods to make neural networks more reliable under...
- September912 - 1 pm
- July2212 - 1 pm
IFML Seminar
Event DetailsWatch the replay here. Abstract: While many robots are currently deployable in factories, warehouses, and homes, their autonomous deployment requires...
- April2912 - 1 pmEvent Details
Abstract: Thanks to neural networks (NNs), faster computation, and massive datasets, machine learning (ML) is under increasing pressure to provide...
- April2210 am - 4 pmEvent Details
Join the Machine Learning Lab on campus and in person for its inaugural research symposium on Friday, April 22.
