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Anytime Belief Propagation Using Sparse Domains
Sameer Singh, Sebastian Riedel, Andrew McCallum
Belief Propagation has been widely used for marginal inference, however it is slow on problems with large-domain variables and high-order factors. Previous work provides useful app…
Automorphism Groups of Graphical Models and Lifted Variational Inference
Hung Bui, Tuyen 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…
On the Variational Regularity of Cameron-Martin paths
Peter K. Friz, Benjamin Gess, Sebastian Riedel
It is a well-known fact that finite rho-variation of the covariance (in 2D sense) of a general Gaussian process implies finite rho-variation of Cameron-Martin paths. In the special…
Latent Relation Representations for Universal Schemas
Sebastian Riedel, Limin Yao, Andrew McCallum
Traditional relation extraction predicts relations within some fixed and finite target schema. Machine learning approaches to this task require either manual annotation or, in the…
A Levy-area between Brownian motion and rough paths with applications to robust non-linear filtering and RPDEs
Joscha Diehl, Harald Oberhauser, Sebastian Riedel
We give meaning to differential equations with a rough path term and a Brownian noise term as driving signals. Such differential equations as well as the question of regularity of…