A determinantal point process is a type of stochastic point process used in mathematics, random matrix theory, combinatorics, physics, and wireless network modeling. It is characterized by its probability distribution being a determinant of some function. It has many applications in various fields.
Stanford University
Autumn 2022
The course addresses both classic and recent developments in counting and sampling. It covers counting complexity, exact counting via determinants, sampling via Markov chains, and high-dimensional expanders.
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