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
- November123 - 4 pm
ML+ X Seminar
Event DetailsThe recent artificial intelligence (AI) boom has been primarily driven by three confluence forces: algorithms, big-data, and computing power enabled...
- November2throughNovember5
Workshop
Event DetailsMembers of the new NSF AI Institute for Foundations of Machine Learning (IFML) will spend a week in residence at...
- October223 - 4 pm
ML+ X Seminar
Event DetailsNatural language contains information that must be integrated over multiple timescales. To understand how the human brain represents this information...
- October1512 - 1 pm
Foundational Research Seminar
Event DetailsWe consider the problem of quantifying uncertainty for the estimation error of the leading eigenvector from Oja's algorithm for streaming...
- October112 - 3 pm
Ethics/Fairness in AI Seminar
Event DetailsTraditional group fairness definitions are typically defined with respect to a specified classification of people into protected groups, despite many...
- October83 - 4 pm
ML+ X Seminar
Event DetailsAbstract: Understanding how two datasets differ can help us determine whether one dataset under-represents certain sub-populations, and provides insights…
