366 citations · 996 across the 9 of their papers we have counts for
3 papers · 1 filter
Improved Dynamic Schedules for Belief Propagation
Charles Sutton, Andrew McCallum
Belief propagation and its variants are popular methods for approximate inference, but their running time and even their convergence depend greatly on the schedule used to send the…
Alternating Projections for Learning with Expectation Constraints
Kedar Bellare, Gregory Druck, Andrew McCallum
We present an objective function for learning with unlabeled data that utilizes auxiliary expectation constraints. We optimize this objective function using a procedure that altern…
Inference by Minimizing Size, Divergence, or their Sum
Sebastian Riedel, David A. Smith, Andrew McCallum
We speed up marginal inference by ignoring factors that do not significantly contribute to overall accuracy. In order to pick a suitable subset of factors to ignore, we propose thr…