Effect Handling for Composable Program Transformations in Edward2
원문 초록
Algebraic effects and handlers have emerged in the programming languages community as a convenient, modular abstraction for controlling computational effects. They have found several applications including concurrent programming, meta programming, and more recently, probabilistic programming, as part of Pyro's Poutines library. We investigate the use of effect handlers as a lightweight abstraction for implementing probabilistic programming languages (PPLs). We interpret the existing design of Edward2 as an accidental implementation of an effect-handling mechanism, and extend that design to support nested, composable transformations. We demonstrate that this enables straightforward implementation of sophisticated model transformations and inference algorithms.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
Markov Senior -- Learning Markov Junior Grammars to Generate User-specified Content
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
Simplifying debiased inference via automatic differentiation and probabilistic programming
BlackJAX: Composable Bayesian inference in JAX
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
토론
이 논문과 연결된 포럼 글이 아직 없습니다.