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NIPS
2008
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Information Technology
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NIPS 2008
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On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
15 years 4 months ago
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ttic.uchicago.edu
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
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