25 citations · 94 across the 5 of their papers we have counts for
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cs.LG2014★ 24 cited
Latent Tree Models and Approximate Inference in Bayesian Networks
Yi Wang, Nevin L. Zhang, Tao Chen
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and whe…
cs.LG2012★ 22 cited
Monte Carlo Bayesian Reinforcement Learning
Yi Wang, Kok Sung Won, David Hsu +1
Bayesian reinforcement learning (BRL) encodes prior knowledge of the world in a model and represents uncertainty in model parameters by maintaining a probability distribution over…