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Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling.

, , and . NIPS, page 1871-1879. (2012)

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Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling., , and . NIPS, page 1871-1879. (2012)Practical Lessons from Developing a Large-Scale Recommender System at Zalando.. RecSys, page 251-259. ACM, (2017)Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models, and . Intelligent Systems Reference Library Springer, (2011)Learning to Rank Using Markov Random Fields., , and . ICMLA (2), page 257-262. IEEE Computer Society, (2011)978-0-7695-4607-0.Scalable pseudo-likelihood estimation in hybrid random fields., , and . KDD, page 319-328. ACM, (2009)Unsupervised nonparametric density estimation: A neural network approach., and . IJCNN, page 3140-3147. IEEE Computer Society, (2009)Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation., , and . ECAI, volume 215 of Frontiers in Artificial Intelligence and Applications, page 427-432. IOS Press, (2010)Selecting Features by Learning Markov Blankets.. KES (1), volume 4692 of Lecture Notes in Computer Science, page 69-76. Springer, (2007)Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields.. AISTATS, volume 22 of JMLR Proceedings, page 391-399. JMLR.org, (2012)Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data., , , and . UAI, page 265-274. AUAI Press, (2012)