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cs.AI2012★ 23 cited
Automorphism Groups of Graphical Models and Lifted Variational Inference
Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
Using the theory of group action, we first introduce the concept of the automorphism group of an exponential family or a graphical model, thus formalizing the general notion of sym…
cs.AI2012★ 164 cited
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
Sebastian Riedel
In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspir…
cs.LG2012
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…