NIPS: Spotlight Session 9 - Graphical Models Spotlights, Model Selection

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S. Nie, D. Maua, C. de Campos, Q. Ji Advances in Learning Bayesian Networks of Bounded Treewidth J. Tristan, D. Huang, J. Tassarotti, A. Pocock, S. Green, G. Steele Augur: Data-Parallel Probabilistic Modeling N. Ruozzi, T. Jebara Making Pairwise Binary Graphical Models Attractive C. Chen, H. Liu, D. Metaxas, T. Zhao Mode Estimation for High Dimensional Discrete Tree Graphical Models F. Stimberg, A. Ruttor, M. Opper Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data H. Hu, Z. Li, A. Vetta Randomized Experimental Design for Causal Graph Discovery E. Bareinboim, J. Pearl Transportability from Multiple Environments with Limited Experiments: Completeness Results







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microsoft research