Newsroom
Machine Learning
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FDS Colloquium: Lorenzo Orecchia (Chicago)
Speaker bio: Lorenzo Orecchia is an assistant professor in the Department of Computer Science at the University of Chicago. Lorenzo’s research focuses on the […]
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FDS Colloquium: George Lan (Georgia Tech)
Speaker bio: George Lan is an A. Russell Chandler III Chair and Professor of Industrial and Systems Engineering at Georgia Institute of Technology. His research […]
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FDS Seminar: Akhil Premkumar (UChicago), “An information theoretic view of machine learning”
Abstract: Diffusion models serve as a bridge between generative AI and information theory. These models have demonstrated a remarkable ability to learn high-dimensional continuous distributions, […]
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Yale Student Theory Day
Join us for a fun day of research talks presented by Yale CS and S&DS graduate students, additionally featuring invited speakers from universities in […]
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S&DS Seminar: Zhuoran Yang (Yale), “Unveiling In-Context Learning: Provable Training Dynamics and Feature Learning in Transformers”
Abstract: In-context learning (ICL) is a cornerstone of large language model (LLM) functionality, yet its theoretical foundations remain elusive due to the complexity of transformer […]
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FDS/CADMY Research in Motion Colloquium: Nicolas Stier-Moses (Meta), “Pacing Mechanisms For Ad Auctions”
Research in Motion Series is co-hosted by the Center for Algorithms, Data, and Market Design at Yale (CADMY) and the Yale Institute for Foundations […]