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
- April134 - 5 pmEvent Details
AI Safety Abstract: Thoughts about AI safety, shaped by a year's leave at OpenAI to work on the intersection of...
- April1212 - 1 pmEvent Details
Abstract Machine learning approaches to medical image reconstruction are of considerable recent interest, especially supervised approaches that use a corpus…
- April712:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Machine learning systems are built using large troves of training data that may contain private or copyrighted content. In...
- March3112:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Unsupervised learning with functional data is an emerging paradigm of machine learning research with applications to computer vision, climate...
- March313:15 - 4 pm
IFML Seminar
Event DetailsAbstract: Deep learning is delivering unprecedented performance when applied to various data modalities, yet there are data distributions over which...
- March302 - 3 pmEvent Details
Abstract: Magnetic Resonance Imaging (MRI) enables non-invasive measurement of anatomy with a wide range of image contrast, but incurs significant...
