Events 32 x 13.1 ( with space) ppt.png

Events and Talks

 

In AI, Machine Learning and Data Science across the University and beyond.

Events

Talks

Upcoming related talks from talks@cam

Date Title Speaker Abstract
BSU Seminar: "Estimating conditional means under missingness-not-at-random with incomplete auxiliary variables" Maya Mathur, Associate Professor, Stanford Medicine

Estimators assuming missingness at random (MAR) can fail under missingness not at random (MNAR). Introducing complete auxiliary variables sometimes restores MAR by breaking dependence between analysis variables and missingness. However, if the auxiliaries are themselves incomplete, MAR typically remains violated.

Cambridge AI in Medicine Seminar - July 2026 Mengling Feng and Kai He

Sign up on Eventbrite: https://medai-july2026.eventbrite.co.uk
BSU Seminar: "Personalized Federated Training of Diffusion Models with Local Differential Privacy" Kumar Kshitij Patel, Yale Institute for Foundations of Data Science (FDS)

Diffusion models are now the dominant approach for high-fidelity image generation, yet they remain highly vulnerable to privacy attacks, including reconstruction and membership inference attacks (e.g.,