Bio: Yingzhen Li is an Associate Professor in Machine Learning at the Department of Computing, Imperial College London, UK. Before that she was a senior researcher at Microsoft Research Cambridge, […]

Abstract: Many constrained control problems in queueing and scheduling admit elegant structures, yet reinforcement learning methods rarely exploit them. In this talk, I will present a framework for structured reinforcement learning that […]

We have the pleasure to have Lasse Vursteen (Duke University) presenting his work on Optimality Theory for Adaptive Federated Estimation under Differential Privacy (via Teams). Abstract: This talk addresses adaptive density estimation […]