IFML Seminar
IFML Seminar: 04/03/26 - Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
Abstract: In this work, we give a polynomial time and sample complexity algorithm for efficiently learning the parameters of a mixture of k spherical distributions in d dimensions. Our method succeeds whenever the component...
Upcoming Events
- April32 - 3 pm
IFML Seminar
Event DetailsAbstract: In this work, we give a polynomial time and sample complexity algorithm for efficiently learning the parameters of a...
- April1712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-…
Past Events
- 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...
- November1912 - 1 pmEvent Details
Abstract: fastMRI is a collaboration project between Facebook AI Research and the NYU School of Medicine with the goal of...
