Doubling the L1 penalty does not improve generalization—The trap of statistical significance that data scientists overlook

If you want to improve the generalization of a machine learning model, you should increase the L1 penalty. Many data scientists believe this.However, when you try it in practice, this 'common sense' ...
BIOENGINEER

Quantum Learning Gets a Statistical Makeover: Why Faster Circuits Don’t Guarantee Smarter Machines

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 ...
Phys.org

The generalization of statistical mechanics makes it possible to regularize the theory of critical phenomena

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 ...
Nature

Statistical Learning Theory and Generalization Bounds

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 ...