Generalization and learnability bounds for hypothesis classes under Dobrushin's condition on weakly dependent data, with degradation by only constant or log factors relative to i.i.d. settings.
Rate of convergence of predictive distributions for dependent data
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Learning from weakly dependent data under Dobrushin's condition
Generalization and learnability bounds for hypothesis classes under Dobrushin's condition on weakly dependent data, with degradation by only constant or log factors relative to i.i.d. settings.