241 citations · 717 across the 23 of their papers we have counts for
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cs.LG2012★ 6 cited
Closed-Form Learning of Markov Networks from Dependency Networks
Daniel Lowd
Markov networks (MNs) are a powerful way to compactly represent a joint probability distribution, but most MN structure learning methods are very slow, due to the high cost of eval…
cs.AI2012★ 73 cited
Learning Arithmetic Circuits
Daniel Lowd, Pedro Domingos
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, bec…