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Peter L. Bartlett, Olivier Bousquet and Shahar Mendelson
Journal Article
Rademacher complexity in Neyman-Pearson classification
Min Han, Di Rong Chen and Zhao Xu Sun
Acta Mathematica Sinica, 2009, Volume 25, Number 5, Pages 855-868
New approaches to statistical learning theory
Olivier Bousquet
Annals of the Institute of Statistical Mathematics, 2003, Volume 55, Number 2, Pages 371-389
Book Chapter
A Few Notes on Statistical Learning Theory
Shahar Mendelson
Lecture Notes in Computer Science, 2003, Volume 2600, Advanced Lectures on Machine Learning, Pages 1-40
Local Complexities for Empirical Risk Minimization
Peter L. Bartlett, Shahar Mendelson and Petra Philips
Lecture Notes in Computer Science, 2004, Volume 3120, Learning Theory, Pages 270-284
Geometric Parameters of Kernel Machines
Lecture Notes in Computer Science, 2002, Volume 2375, Computational Learning Theory, Pages 1-4
Statistical Properties of Kernel Principal Component Analysis
Laurent Zwald, Olivier Bousquet and Gilles Blanchard
Lecture Notes in Computer Science, 2004, Volume 3120, Learning Theory, Pages 594-608
Transductive Rademacher Complexity and Its Applications
Ran El-Yaniv and Dmitry Pechyony
Lecture Notes in Computer Science, 2007, Volume 4539, Learning Theory, Pages 157-171
Introduction to Statistical Learning Theory
Olivier Bousquet, Stéphane Boucheron and Gábor Lugosi
Lecture Notes in Computer Science, 2004, Volume 3176, Advanced Lectures on Machine Learning, Pages 169-207
A generalized SVD analysis of some weighting methods for equality constrained least squares
Charles Van Loan
Lecture Notes in Mathematics, 1983, Volume 973, Matrix Pencils, Pages 245-262
The Rademacher Complexity of Linear Transformation Classes
Andreas Maurer
Lecture Notes in Computer Science, 2006, Volume 4005, Learning Theory, Pages 65-78
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