CMSA Combinatorics, Physics and Probability: Invariant theory for maximum likelihood estimation


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February 8, 2022 9:00 am - 10:00 am
via Zoom Video Conferencing

Anna Seigal - Harvard University, Math Department

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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