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6.244[J] Graphical Models: A Geometric, Algebraic, and Combinatorial Perspective
(New)
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Not offered academic year 2019-2020Graduate (Spring)
(Same subject as IDS.136[J])
Prereq: 6.431B and 18.06
Units: 3-0-9
Lecture: MW11-12.30 (1-135)
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Provides instruction in the geometric, algebraic and combinatorial perspective on graphical models. Presents methods for learning the underlying graph and inferring its parameters. Topics include exponential families, duality theory, conic duality, polyhedral geometry, undirected graphical models, Bayesian networks, Markov properties, total positivity of distributions, hidden variables, and tensor decompositions.
C. Uhler, E. Robeva
No required or recommended textbooks