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101 results

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MATH 286: Random Matrices and Applications

We will cover two topics in random matrix theory. 1. Concentration inequalities. 2. Stochastic flow method. We will start with a review of basic results in random matrices like local laws and Dyson's Brownian motions. We will discuss coupling methods in...

AM 221. Advanced Optimization

Instructor: Yaron Singer Course description: This is a rigorous graduate-level course on optimization. The course covers convex and combinatorial optimization for solving large-scale problems. In recent years optimization has had a profound impact on...