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Wassily Hoeffding is a Russian-American mathematician known for his significant contributions to probability theory and statistics. He is particularly well-known for the Hoeffding inequality, which provides bounds on the sum of random variables and is essential in the field of statistical learning theory, especially in the context of dealing with large samples and understanding the convergence of sample averages to expected values.