Conference on Applied Inverse Problems, July 20-24, 2009, Vienna, Austria
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Minisymposia
M33: Regularization Approaches to Learning from High Dimensional Data

Tue, 21 July, 2009, 10:30-12:30, D

Organizer(s)

Lorenzo Rosasco, Massachusetts Institute of Technology (Organizer)

Speakers
10:30-11:00 Andreas Maurer:
Bounding the inverse of the sample covariance matrix and applications to machine learning
11:00-11:30 Andrea Caponnetto:
Regularization by operator-valued kernels in Learning Theory
11:30-12:00 Massimiliano Pontil:
Matrix Regularization for Multi-Task Learning
12:00-12:30 Sergei Pereverzyev:
Multi-parameter regularization in Learning theory
Presentation slides (pdf, 511 KB)

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