probabilistic programming
Literature.
- An Introduction to Probabilistic Programming (van de Meent, Paige, Yang, Wood, 2021)
- Kleisli Semantics for Conditioning in Probabilistic Programming (Cho, Jacobs, 2022)
- Probabilistic Programming Semantics for Name Generation (Stein et al)
- A Synthetic Approach to Markov Kernels (Fritz, 2020)
- A Presentation of the Category of Stochastic Matrices (Fritz)
- Dilations and information flow axioms in categorical probability (Fritz, Gonda, Houghton-Larsen, Perrone, Stein, 2022)
- Markov Categories and Information Theory (Perrone, 2022)