Primal-Dual Subgradient Methods for Huge-Scale Problems
Mixed Norm Kernels, Hyperkernels and Other Variants
Lecture 23: Semidefinite Optimization I
Lecture 19: Interior-Point Methods (Cont.)
On Recent Trends in Extremely Large-Scale Convex Optimization
Lecture 8: Recap: Ellipsoid Method
Lecture 12: Continue On Experiment Design
Semidefinite Optimization and Convex Algebraic Geometry
Low-rank modeling
Lecture 14: Methods (Truncated Newton Method)