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
- October1412:15 - 1 pm
IFML Seminar
Event DetailsWhen Is Partially Observable Reinforcement Learning Not Scary? Abstract: Partially observability is ubiquitous in applications of Reinforcement Learning (RL…
- September2312:15 - 1 pm
ML+ X Seminar
Event DetailsAbstract: In this talk I will present applications and new methods for decomposing higher-order moment tensors into appropriate low-rank representations...
- September1612 - 1 pm
IFML Seminar
Event DetailsTitle: A Data-Centric View on Reliable Generalization Abstract: Researchers have proposed many methods to make neural networks more reliable under...
- September912 - 1 pm
- July2212 - 1 pm
IFML Seminar
Event DetailsWatch the replay here. Abstract: While many robots are currently deployable in factories, warehouses, and homes, their autonomous deployment requires...
- April2912 - 1 pmEvent Details
Abstract: Thanks to neural networks (NNs), faster computation, and massive datasets, machine learning (ML) is under increasing pressure to provide...
