Recovery guarantee of weighted low-rank approximation via alternating minimization. Practical Algorithms for Learning Near-Isometric Linear Embeddings. Model selection consistency from the perspective of generalization ability and VC theory with an application to Lasso. Feedback Networks. Regression Trees and Random forest based feature selection f …