Foundations and Trends® in Machine Learning Editor-in-Chief: Michael Jordan, Department of Electrical Engineering and Computer Science Department of Statistics University of California, Berkeley Berkeley, CA 94720-1776 USA Tel: +1 510 642 3806 www.cs.berkeley.edu/~jordan/ Print ISSN: 1935-8237 Online ISSN: 1935-8245 Americas USD 360 / All other countries EURO 360 (electronic) Americas USD 410 / All other countries EURO 410 (combined) Published Issues Each issue of the journal is available online. If your institution subscribes you will have access to the full text HTML and PDF of the journal. See "Do I have Online Access? If your institution does not subscribe, each issue is available for purchase as a book or e-book. Volume 2, Issue 4 Dimension Reduction: A Guided Tour By Christopher J.C. Burges (Microsoft Research) Volume 2, Issue 3 Clustering Stability: An Overview By Ulrike von Luxburg (Max Planck Institute for Biological Cybernetics) Volume 2, Issue 2 A Survey of Statistical Network Models By Anna Goldenberg (University of Toronto), Alice X. Zheng (Microsoft Research), Stephen E. Fienberg (Carnegie Mellon University) and Edoardo M. Airoldi (Harvard University) Volume 2, Issue 1 Learning Deep Architectures for AI By Yoshua Bengio (Universite de Montreal) Volume 1, Issue 4 Learning Representation and Control: New Frontiers in Approximate Dynamic Programming By Sridhar Mahadevan (U. Mass, Amherst) Volume 1, Issue 3 Property Testing: A Learning Theory Perspective By Dana Ron (Tel-Aviv University) Volume 1, Issue 1-2 Graphical Models, Exponential Families, and Variational Methods By Martin J. Wainwright and Michael I. Jordan (UC Berkeley)