LMS Computer Science Colloquium: Theory and Practice of Machine Learning

A mathematics and computer science colloquium examines reliable simulation-based inference, scalable Gaussian-process models and temporal abstraction in reinforcement learning.

The meeting welcomes PhD students, postdoctoral researchers and other interested attendees, including nonmembers. Mauricio Álvarez is billed alongside Francois-Xavier Briol and Özgür Şimşek, whose talks are delivered remotely to the physical audience. Refreshments begin at 10:00; talks begin at 10:30. In-person registration is required. Adrián Javaloy gives the 15:00 talk on causal generative models.