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

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