Some connections between learning and optimization Original Research Article

This article is a brief exposition of some of the important links between machine learning and combinatorial optimization. We explain how efficient `learnabilityʹ in standard probabilistic models of learning is linked to the existence of efficient randomized algorithms for certain natural combinatorial optimization problems, and we discuss the complexity of some of these optimization problems.