Courses

  • Function Estimation in Gaussian Noise, Advanced Statistical Theory

  • Statistical Learning Theory, Modern Coding Theory, Modern Algebra II

  • Topics in Minimax Inference of Nonparametric Functionals, Statistical Signal Processing, Lie Theory

  • Machine Learning, Error Correcting Codes: Theory and Applications, Universal Schemes in Information Theory

  • Cryptography, Methods from Statistical Physics, Inference, Estimation, and Information Processing

  • Convex Optimization I, Large Deviation Theory, Modern Applied Statistics: Data Mining

  • Stochastic Processes on Graphs, Randomized Algorithm, Foundations of Algebraic Geometry A

  • Applied Statistics II, Optimization, Bayesian Statistics

  • Convex Optimization II, Real Analysis III, Mathematics and Statistics of Gambling

  • Fast Graph Algorithms, Analysis of Boolean functions

  • Discrete Algorithms, Information Theory and Statistics

  • Network Information Theory, Modern Markov Chains