IFML Seminar
Large-scale graph machine learning: tradeoffs, guarantees and dynamics
Abstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations in large graphs, which do not have the Euclidean structure that time and image...
Upcoming Events
- September2212:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations...
- October612:15 - 1 pm
IFML Seminar
Event DetailsAbstract: During this presentation, I will delve into an innovative class of optimization problems called finite-sum coupled compositional optimization (FCCO…
Past Events
- April812 - 1 pm
Use-Inspired Research Seminar
Event DetailsPlease join us for an IFML Seminar with Boris Hanin, Assistant Professor of Operations Research and Financial Engineering (ORFE) at...
- 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...
- 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 with…
- 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...
- March23throughMarch24
Workshop
Event DetailsThis workshop will explore emerging research problems and opportunities at the exciting intersection between computer systems and machine learning. We...
- 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...
