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
- 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.
