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
- September2212:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations...
- September1512:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Whittle index policy is a powerful tool to obtain asymptotically optimal solutions for the notoriously intractable problem of restless...
- April2812:15 - 1 pm
IFML Seminar
Event DetailsWe discuss the problem of positive-semidefinite extension: extending a partially specified covariance kernel from a subdomain Ω of a rectangular...
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Event Details
Abstract: We demonstrate the power of combining the forward image acquisition model with deep learning solutions for inverse MRI problems...
- April20throughApril22
Workshop
Event DetailsThis workshop aims to bring together researchers with different backgrounds in computer science, machine learning, statistics and math who are...
- April1310 am - 4 pmEvent Details
The Machine Learning Laboratory Research Symposium will showcase the latest cutting-edge work from our students and faculty. We'll have an...
