Learning Theory and Algorithms for Auctioning and Adaptation Problems
<p>A common assumption in machine learning is that training and testing data are i.i.d. realizations of the same distribution. However, this assumption is often violated in practice: the training and test distributions are often somewhat related but different. For example, the training sample...
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| Language: | EN |
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New York University
2016
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=3740907 |