26 citations · 65 across the 7 of their papers we have counts for
3 papers · 1 filter
New Advances and Theoretical Insights into EDML
Khaled S. Refaat, Arthur Choi, Adnan Darwiche
EDML is a recently proposed algorithm for learning MAP parameters in Bayesian networks. In this paper, we present a number of new advances and insights on the EDML algorithm. First…
Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference
Guy Van den Broeck, Arthur Choi, Adnan Darwiche
We propose an approach to lifted approximate inference for first-order probabilistic models, such as Markov logic networks. It is based on performing exact lifted inference in a si…
On Bayesian Network Approximation by Edge Deletion
Arthur Choi, Hei Chan, Adnan Darwiche
We consider the problem of deleting edges from a Bayesian network for the purpose of simplifying models in probabilistic inference. In particular, we propose a new method for delet…