2/8/2022 – Combinatorics, Physics and Probability Seminar

Speaker: Anna Seigal (Harvard)

Title: Invariant theory for maximum likelihood estimation

Abstract:  I will talk about work to uncover connections between invariant theory and maximum likelihood estimation. I will describe how norm minimization over a torus orbit is equivalent to maximum likelihood estimation in log-linear models. We will see the role played by polytopes and discuss connections to scaling algorithms. Based on joint work with Carlos Améndola, Kathlén Kohn, and Philipp Reichenbach.

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