ICML 2007 reading list

Some papers I would like reading right away:

Discriminative Learning for Differing Training and Test Distributions
Steffen Bickel - Max Planck Institute for Computer Science, Germany
Michael Brüeckner - Max Planck Institute for Computer Science, Germany
Tobias Scheffer - Max Planck Institute for Computer Science, Germany

Sparse Eigen Methods by D.C. Programming
Bharath Sriperumbudur - University of California, San Diego, USA
David Torres - University of California, San Diego, USA
Gert Lanckriet - University of California, San Diego, USA

Graph Clustering With Network Structure Indices
Matthew J. Rattigan - University of Massachusetts Amherst, USA
Marc Maier - University of Massachusetts Amherst, USA
David Jensen - University of Massachusetts Amherst, USA


Fast and Effective Kernels for Relational Learning from Texts
Alessandro Moschitti - University of Trento, Italy
Fabio Massimo Zanzotto - University of Rome, Italy

Three New Graphical Models for Statistical Language Modelling
Andriy Mnih - University of Toronto, Canada
Geoffrey Hinton - University of Toronto, Canada

Simple, Robust, Scalable Semi-supervised Learning via Expectation Regularization
Gideon S. Mann - University of Massachusetts, USA
Andrew McCallum - University of Massachusetts, USA

The Rendezvous Algorithm: Multiclass Semi-Supervised Learning with Markov Random Walks
Arik Azran - University of Cambridge, UK

Information-Theoretic Metric Learning (one of the best paper awardees)
Jason V. Davis - University of Texas at Austin, USA
Brian Kulis - University of Texas at Austin, USA
Prateek Jain - University of Texas at Austin, USA
Suvrit Sra - University of Texas at Austin, USA
Inderjit S. Dhillon - University of Texas at Austin, USA

Agnostic Active Learning - not from ICML 2007 but exciting as it was discovered last year, theoretical bounds were proved this year in ICML 2007.
http://hunch.net/~jl/projects/agnostic_active/agnostic-active.pdf

A Bound on the Label Complexity of Agnostic Active Learning
Steve Hanneke - Carnegie Mellon University, USA