IFML Seminar
IFML Seminar: 10/03/25 - Successor Measures and Self-supervised Reinforcement Learning
Abstract: We introduce a method for learning behavioral foundation models using the successor measure. We show that any visitation distribution can be represented using an affine combination of policy-independent basis functions. By learning these...
Upcoming Events
- October312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We introduce a method for learning behavioral foundation models using the successor measure. We show that any visitation distribution...
- October1012:15 - 1:15pm
IFML Seminar
Event DetailsABSTRACT: What would it mean for AI to understand skilled human activity? In augmented reality (AR), a person wearing smart...
- 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...
Past Events
- April14 - 5 pmEvent Details
Join the MLL for our inaugural public lecture: AI for Accurate and Fair Imaging with co-director Alex Dimakis. In 2020...
- March253 - 4 pm
ML+ X Seminar
Event DetailsArtificial intelligence continues to permeate healthcare but has been met with mixed success. While the digitization of the patient has...
- March2511 am - 12 pm
ML+ X Seminar
Event DetailsWatch the replay Abstract: Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting…
- March23throughMarch24
Workshop
Event DetailsThis workshop will explore emerging research problems and opportunities at the exciting intersection between computer systems and machine learning. We...
- March412 - 1 pm
Use-Inspired Research Seminar
Event DetailsIn this work from Microsoft Research, Jerry Li and Allen Liu consider the problem of clustering mixtures of mean-separated Gaussians...
- March43 - 4 pm
ML+ X Seminar
Event DetailsText simplification aims to help audiences read and understand a piece of text through lexical, syntactic, and discourse modifications, while...
