Solomon Kullback

Solomon Kullback was an American mathematician and statistician best known for his contributions to information theory and statistics. He is particularly recognized for the Kullback-Leibler divergence (often abbreviated as KL divergence), a fundamental concept in information theory that measures how one probability distribution differs from a second, reference probability distribution. This concept has applications in various fields, including statistics, machine learning, and information retrieval.