A PAC-Style Model for Learning from Labeled and Unlabeled Data
Kernels as features: On kernels, margins, and low-dimensional mappings
Robust reductions from ranking to classification
Machine Learning
Lecture Notes in Computer Science
Avrim Blum
Gregory B. Sorkin
Alina Beygelzimer
Nikhil Bansal
John Langford
Santosh Vempala
Toward a Unified Theory of Sparse Dimensionality Reduction in Euclidean Space
Learning to rank using 1-norm regularization and convex hull reduction