STATS 314A
Advanced Statistical Theory
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.
Sources
- Course catalogue ↗2026-2027