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
- October112 - 1 pm
Foundational Research Seminar
Event DetailsAbstract: Recent theoretical works on over-parameterized neural nets have focused on two aspects: optimization and generalization. Many existing works that…
- September33 - 4 pm
ML+ X Seminar
Event DetailsAbstract Reinforcement learning (RL) has gained popularity in the research community as a model-free and adaptive control paradigm for the...
- August302 - 3 pm
Foundational Research Seminar
Event DetailsThe talk will cover two complexity-theoretic results from optimization. We will review work on an accelerated algorithm (à la Nesterov)...
- August23throughAugust31
- July810 - 11 am
ML+ X Seminar
Event DetailsHow can we design AI to benefit society? In this talk, I will discuss the stakes involved in ensuring that...
- June2810 - 11 am
ML+ X Seminar
Event DetailsComputers that can understand and communicate in human language is a foundational goal of AI and has many applications that...
