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What are those different bounds good for? Isn't there just one learning problem? Why would we choose one over another?
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#2
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These are theoretical attempts to bound the generalization error using different approaches. Some of the bounds are more successful than others (read: are closer to the actual value of the generalization error) in different ranges. The goal of the problems is to compare them.
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