Schedule

June 16, 2008
13:50-14:35 Sanjoy Dasgupta Random projection trees and low-dimensional manifolds (semiplenary talk)
14:40-15:25 Sasha Rakhlin Online learning with limited feedback
15:30-16:00
Coffee break
16:00-16:45 Adam Klivans Efficient algorithms for agnostic learning
16:50-17:35 Mihail Belkin Spectral and geometric methods in learning
June 17, 2008
13:50-14:35 Ding-Xuan Zhou Analysis of some learning algorithms with Gaussians
14:40-15:25 Massi Pontil Spectral regularization for transfer learning
15:30-16:00
Coffee break
16:00-16:45 Mehryar Mohri Learning to rank with Quicksort (semiplenary talk)
16:50-17:35 Andrea Caponnetto Properties of regularization operators in learning theory
June 18, 2008
13:50-14:35 Sham Kakade On the complexity of linear prediction: risk bounds, margin bounds, and regularization
14:40-15:25 Peter Auer Analysis of optimistic algorithms for the exploration/exploitation trade-off (semiplenary talk)
15:30-16:00
Coffee break
16:00-16:45 Ingo Steinwart Estimating conditional quantiles
16:50-17:35 Claudio Gentile Linear algorithms for on-line multitask/multiview learning