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Probabilistic morphisms and Bayesian supervised learning

2025 · arXiv (Cornell University)

In this paper, we develop category theory of Markov kernels to study categorical aspects of Bayesian inversions. As a result, we present a unified model for Bayesian supervised learning, encompassing Bayesian density estimation. We illustrate …