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
- April812 - 1 pm
Use-Inspired Research Seminar
Event DetailsPlease join us for an IFML Seminar with Boris Hanin, Assistant Professor of Operations Research and Financial Engineering (ORFE) at...
- April14 - 5 pmEvent Details
Join the MLL for our inaugural public lecture: AI for Accurate and Fair Imaging with co-director Alex Dimakis. In 2020...
- March253 - 4 pm
ML+ X Seminar
Event DetailsArtificial intelligence continues to permeate healthcare but has been met with mixed success. While the digitization of the patient has...
- March2511 am - 12 pm
ML+ X Seminar
Event DetailsWatch the replay Abstract: Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting…
- March23throughMarch24
Workshop
Event DetailsThis workshop will explore emerging research problems and opportunities at the exciting intersection between computer systems and machine learning. We...
- March412 - 1 pm
Use-Inspired Research Seminar
Event DetailsIn this work from Microsoft Research, Jerry Li and Allen Liu consider the problem of clustering mixtures of mean-separated Gaussians...
