Call for NIPS 2008 Kernel Learning Workshop Submissions

Submissions are solicited for the Kernel Learning workshop to be held on December 13th, 2008 at this years NIPS workshop session in Whistler, Canada. The workshop will focus on automatic kernel selection; and more broadly on feature selection, multi-task learning and multi-view learning. Submissions to the workshop should be on the topic of using sampled data to select or learn a kernel function or kernel matrix appropriate for the specific task at hand.

Submissions are not constrained regarding the areas in which which the learned kernel is applied: these can include classification, regression, and ranking, where the use of kernels is ubiquitous, and different settings including inductive, transductive, or semi-supervised learning. Presentations on the closely related topics of feature selection, multi-task learning and multi-view learning are also encouraged. Submissions may focus on theoretical, algorithmic or large-scale empirical results.

Accepted submissions will results in a 25 minute talk or a poster presentation. The deadline for submission will be October 24 and notifications will be sent out by November 7th. The submission should be no more than four pages long in in NIPS format (though it may make reference to a longer technical report if appropriate), and should be sent to rostami@cs.nyu.edu.

The program committee will consist of the workshop organizers and the invited speakers, and can be found on the workshop webpage

http://www.cs.nyu.edu/learning_kernels

as well as other important information.

Your Workshop Organizers,

• Corinna Cortes
• Arthur Gretton
• Gert Lackriet
• Mehryar Mohri
• Afshin Rostamizadeh