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Tomás Angles

2 accepted papers

2016

NYTRO: When Subsampling Meets Early Stopping

AISTATS 2016poster

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 (rather than time) complexity is the main constraint in many applications, and randomized subsampling techniques have b…