Learning from Weakly Dependent Data under Dobrushin's Condition
COLT, pp. 914-928, 2019.
Statistical learning theory has largely focused on learning and generalization given independent and identically distributed (i.i.d.) samples. Motivated by applications involving time-series data, there has been a growing literature on learning and generalization in settings where data is sampled from an ergodic process. This work has a...More
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