Towards Verified Stochastic Variational Inference for Probabilistic Programs

20 Jul 2019Wonyeol LeeHangyeol YuXavier RivalHongseok Yang

Probabilistic programming is the idea of writing models from statistics and machine learning using program notations and reasoning about these models using generic inference engines. Recently its combination with deep learning has been explored intensely, leading to the development of deep probabilistic programming languages such as Pyro... (read more)

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