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stat.ML2015
NYTRO: When Subsampling Meets Early Stopping
Tomas Angles, Raffaello Camoriano, Alessandro Rudi +1
Early stopping is a well known approach to reduce the time complexity for performing training and model selection of large scale learning machines. On the other hand, memory/space…
stat.ML2015★ 44 cited
Less is More: Nyström Computational Regularization
Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
We study Nyström type subsampling approaches to large scale kernel methods, and prove learning bounds in the statistical learning setting, where random sampling and high probabilit…