Learning Samples Importance: Parameterizing Dual Variables in Everywhere Learning

Ignacio Boero, Jonathan Nixon, Alejandro Ribeiro

Everywhere learning provides a principled framework for training AI models under constraints that must hold throughout the data distribution. In the dual domain, these pointwise co…