GEN 15358
Advanced Statistical Theory
Stanford University · UGRD · Fall 2026
1 section
Catalog description
Sharp asymptotics in high-dimensional statistics. Universality. Convex empirical risk minimization and M estimation. Gaussian comparison inequalities. Approximate message passing algorithms. Sharp high-dimensional asymptotics of general first order algorithms. Bayes error in high-dimensional estimation. Non-convex problems.
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001
Availability not recently verifiedClass #stanford-15358Fall 2026UGRD3 credits
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