240 citations · 246 across the 3 of their papers we have counts for
3 papers
cs.AI2012★ 240 cited
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing
Gal Elidan, Ian McGraw, Daphne Koller
Inference for probabilistic graphical models is still very much a practical challenge in large domains. The commonly used and effective belief propagation (BP) algorithm and its ge…
cs.LG2012★ 5 cited
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
Gal Elidan, Ben Packer, Geremy Heitz +1
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Bay…
cs.LG2012★ 1 cited
Inference-less Density Estimation using Copula Bayesian Networks
Gal Elidan
We consider learning continuous probabilistic graphical models in the face of missing data. For non-Gaussian models, learning the parameters and structure of such models depends on…