Introduction to Machine Learning
Sharp analysis of low-rank kernel matrix approximations
Mining Massive Data Sets
Topics in Statistics: Statistical Learning Theory
The Sample-Computational Tradeo ff
Some Aspects of Learning Rates for SVMs
Divide and Conquer Kernel Ridge Regression
Mathematics of Machine Learning
PAC-Bayes Analysis: Links to Luckiness and Applications
Machine Learning