Events
Colloquium
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 […]
FDS x Applied Physics Colloquium: Grant Rotskoff (Stanford), “Efficient variational inference with generative models”
Abstract: Neural networks continue to surprise us with their remarkable capabilities for high-dimensional function approximation. Applications of machine learning now pervade essentially every scientific […]
FDS Colloquium: Cynthia Dwork (Harvard)
Speaker bio: Cynthia Dwork, Gordon McKay Professor of Computer Science at the John A. Paulson School of Engineering and Applied Sciences at Harvard, and […]
FDS Colloquium: Munther Dahleh (MIT)
Speaker bio: Munther Dahleh is the William A. Coolidge Professor in Electrical Engineering and Computer Science (EECS) and a member MIT’s Laboratory for Information […]
FDS Colloquium: Elliot Paquette (McGill), “High-dimensional Optimization with Applications to Compute-Optimal Neural Scaling Laws”
Abstract: Given the massive scale of modern ML models, we now only get a single shot to train them effectively. This restricts our ability to test multiple […]
FDS Colloquium: Richard Samworth (Cambridge), “How should we do linear regression?”
Cohosted by Yale School of Public Health Abstract: In the context of linear regression, we construct a data-driven convex loss function with respect to […]
