IFML Seminar
IFML Seminar: 10/24/25 - Learning from Many Trajectories
Abstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental understanding of sequential learning remains incomplete, particularly in the multi-trajectory setting where data consists...
Upcoming Events
- October2412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental...
- November712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Retraining a model using its own predictions together with the original, potentially noisy labels is a well-known strategy for...
Past Events
- 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…
- 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...
