Generalization Bounds for Markov Algorithms through Entropy Flow Computations

arXiv:2502.07584v2 Announce Type: replace-cross Abstract: Many learning algorithms can be represented as Markov processes, and understanding their generalization error is a central topic in learning theory. For specific continuous-time noisy algorithms, a prominent analysis te...

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