IFML Seminar
IFML Seminar: 10/24/25 - Learning from Many Trajectories
Abstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental understanding of sequential learning remains incomplete, particularly in the multi-trajectory setting where data consists...
Upcoming Events
- October2412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental...
- November712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Retraining a model using its own predictions together with the original, potentially noisy labels is a well-known strategy for...
Past Events
- 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...
- March43 - 4 pm
ML+ X Seminar
Event DetailsText simplification aims to help audiences read and understand a piece of text through lexical, syntactic, and discourse modifications, while...
- February113 - 4 pm
ML+ X Seminar
Event DetailsML+X seminar with Joshua Chang, M.D., Ph.D., assistant professor in the Department of Neurology at The University of Texas at...
- December132 - 3 pm
Ethics/Fairness in AI Seminar
Event DetailsChild maltreatment has become a prevalent problem and draws increasing concerns around the world. According to a recent study, approximately...
- November22throughNovember26
Workshop
Event DetailsThe resurgence of deep neural networks has led to revolutionary success across almost all the areas in engineering and science...
