389 citations · 1.4k across the 52 of their papers we have counts for
13 papers · 1 filter
Solving MAP Exactly using Systematic Search
James D. Park, Adnan Darwiche
MAP is the problem of finding a most probable instantiation of a set of variables in a Bayesian network given some evidence. Unlike computing posterior probabilities, or MPE (a spe…
Reasoning about Bayesian Network Classifiers
Hei Chan, Adnan Darwiche
Bayesian network classifiers are used in many fields, and one common class of classifiers are naive Bayes classifiers. In this paper, we introduce an approach for reasoning about B…
New Advances in Inference by Recursive Conditioning
David Allen, Adnan Darwiche
Recursive Conditioning (RC) was introduced recently as the first any-space algorithm for inference in Bayesian networks which can trade time for space by varying the size of its ca…
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…
Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters
Hei Chan, Adnan Darwiche
Previous work on sensitivity analysis in Bayesian networks has focused on single parameters, where the goal is to understand the sensitivity of queries to single parameter changes,…