A new theoretical framework separates computational speed from statistical generalization in quantum machine learning, showing that faster quantum algorithms alone do not guarantee better learning ...

Statistical mechanics is one of the pillars of modern physics. Ludwig Boltzmann (1844–1906) and Josiah Willard Gibbs (1839–1903) were its primary formulators. They both worked to establish a bridge ...

Statistical Learning Theory provides a mathematical framework for understanding how algorithms infer predictive rules from data. At its core lies the notion of risk: the expected loss of a model on ...