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
- October2112:15 - 1 pm
IFML Seminar
Event DetailsRepresentation learning has been widely used in many applications. In this talk, I will present our work which uncovers when...
- 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...
