Generalization is a testable hedging property of the learner's response law, recovered via f-divergence regularizers that induce information-geometric curves between training loss and sample dependence.
An Algorithm for Computing the Capacity of Arbitrary Discrete Memoryless Channels.IEEE Transactions on Information Theory, 18(1):14–20, 1972
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Bounded-Rationality, Hedging, and Generalization
Generalization is a testable hedging property of the learner's response law, recovered via f-divergence regularizers that induce information-geometric curves between training loss and sample dependence.