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
- November2throughNovember5
Workshop
Event DetailsMembers of the new NSF AI Institute for Foundations of Machine Learning (IFML) will spend a week in residence at...
- October223 - 4 pm
ML+ X Seminar
Event DetailsNatural language contains information that must be integrated over multiple timescales. To understand how the human brain represents this information...
- October1512 - 1 pm
Foundational Research Seminar
Event DetailsWe consider the problem of quantifying uncertainty for the estimation error of the leading eigenvector from Oja's algorithm for streaming...
- October112 - 3 pm
Ethics/Fairness in AI Seminar
Event DetailsTraditional group fairness definitions are typically defined with respect to a specified classification of people into protected groups, despite many...
- October83 - 4 pm
ML+ X Seminar
Event DetailsAbstract: Understanding how two datasets differ can help us determine whether one dataset under-represents certain sub-populations, and provides insights…
- October112 - 1 pm
Foundational Research Seminar
Event DetailsAbstract: Recent theoretical works on over-parameterized neural nets have focused on two aspects: optimization and generalization. Many existing works that…
