11 citations · 19 across the 4 of their papers we have counts for
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cs.AI2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
Yi Wu, Siddharth Srivastava, Nicholas Hay +2
Despite the recent successes of probabilistic programming languages (PPLs) in AI applications, PPLs offer only limited support for random variables whose distributions combine disc…
cs.AI2016★ 11 cited
Swift: Compiled Inference for Probabilistic Programming Languages
Yi Wu, Lei Li, Stuart Russell +1
A probabilistic program defines a probability measure over its semantic structures. One common goal of probabilistic programming languages (PPLs) is to compute posterior probabilit…
cs.AI2016
Towards Practical Bayesian Parameter and State Estimation
Yusuf Bugra Erol, Yi Wu, Lei Li +1
Joint state and parameter estimation is a core problem for dynamic Bayesian networks. Although modern probabilistic inference toolkits make it relatively easy to specify large and…