Lectures related to Message passing in graphical models

Related lectures (32)

Explores non-parametric regression for networks, covering object data analysis, network graphs, extrinsic distances, and practical projections.

Explores pseudorandomness and the Expander Mixing Lemma in the context of d-regular graphs.