26 citations · 46 across the 5 of their papers we have counts for
5 papers
On Relaxing Determinism in Arithmetic Circuits
Arthur Choi, Adnan Darwiche
The past decade has seen a significant interest in learning tractable probabilistic representations. Arithmetic circuits (ACs) were among the first proposed tractable representatio…
Dual Decomposition from the Perspective of Relax, Compensate and then Recover
Arthur Choi, Adnan Darwiche
Relax, Compensate and then Recover (RCR) is a paradigm for approximate inference in probabilistic graphical models that has previously provided theoretical and practical insights o…
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…