Learning from Equivalence Queries, Revisited

ArXi:2604.04535v1 Announce Type: new Modern machine learning systems, such as generative models and recommendation systems, often evolve through a cycle of deployment, user interaction, and periodic model updates. This differs from standard supervised learning frameworks, which focus on loss or regret minimization over a fixed sequence of prediction tasks.