For questions related to Probably Approximately Correct (PAC) learning, a framework for mathematical analysis of machine learning algorithms, which was introduced in the paper "A Theory of the Learnable" (1984) by Leslie G. Valiant.

See A Theory of the Learnable (1984) by Leslie G. Valiant.