Lecture 11: Sequential Convex Programming
Convex Optimization with Abstract Linear Operators
Optimal aggregation of affine estimators
Lecture 12: Continue On Experiment Design
Sparsity: algorithms, approximations, and analysis
Infinite Kernel Learning
SINCO - An Efficient Greedy Method for Learning Sparse INverse COvariance Matrix
Gaussian Variances and Large Scale Bayesian Inference
Metric Embedding for Kernel Classification Rules
Introduction to Convex Optimization