R. Soyer

Everything Is Prediction: Modern Machine Learning as Bayesian Inference

We argue that the core methods of modern machine learning—conformal prediction, large language models and in-context learning, and generative/diffusion models—are not rivals to Bayesian inference but implementations of it, almost always of its predictive (de Finetti) form rather than its parameter-centric (prior-to-pos...