3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.AI2016
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…
stat.ML2012★ 3 cited
Dual-Space Analysis of the Sparse Linear Model
David Wipf, Yi Wu
Sparse linear (or generalized linear) models combine a standard likelihood function with a sparse prior on the unknown coefficients. These priors can conveniently be expressed as a…