Lecture 6: Addendum: Hit-And-Run CG Algorithm
Lecture 7: Example: Piecewise Linear Minimization
Efficiency of Quasi-Newton Methods on Strictly Positive Functions
On Recent Trends in Extremely Large-Scale Convex Optimization
Mathematics of Machine Learning
High-Dimensional Statistics
Condition Number Analysis of Kernel-Based Density Ratio Estimation
Lecture 6: (Generalized) Linear-Fractional Program
Lecture 19: Interior-Point Methods (Cont.)
Primal-Dual Subgradient Methods for Huge-Scale Problems