IFML Seminar
IFML Seminar: 05/02/25 - A New Paradigm for Learning with Distribution Shift
Abstract: We revisit the fundamental problem of learning with distribution shift, where a learner is given labeled samples from training distribution D, unlabeled samples from test distribution D′ and is asked to output a...
Upcoming Events
- May212:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We revisit the fundamental problem of learning with distribution shift, where a learner is given labeled samples from training...
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...
