[Combprob] talk this Thursday by Sekhar Tatikonda: "Learning Sparse Gaussian Graphical Models"

[Daniel Spielman]

When: Thursday, Apr 23, 4:00PM
Where: LOM 215

Speaker: Sekhar Tatikonda (Yale)

Title: Learning Sparse Gaussian Graphical Models

Abstract:   We provide an algorithm and analysis for learning the
topology of sparse Gaussian Markov random fields.  The notion of
sparsity we consider is that of k-separability.

For more info: https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_a_yale.edu_combprob_home&d=AwIBaQ&c=-dg2m7zWuuDZ0MUcV7Sdqw&r=LF0MQT9lkPQlp3gHlW9D2fTc0d4apDhCuC758tavUvQ&m=vMPn8pLA-D9vN3LfAhlL5YEg91oNpf5wAuYL-ddm_zY&s=wIciEUf6Y7MenzK5lH8tVVivj5oG2Om7QC8Q-so3WyU&e= 

  --Dan
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