Random Graph and Network Modeling
F.
Guo, S. Hanneke, W. Fu and E.
P. Xing, Recovering
Temporally
Rewiring
Networks: A model-based approach,
Proceedings of the 24th International Conference on Machine Learning (ICML
2007).
- F. Li, Y. Yang and E. P. Xing, Inferring regulatory networks using a hierarchical Bayesian graphical Gaussian model, CMU-MLD Technical Report 06-117.
- E.M. Airoldi, D.M. Blei, S.E. Fienberg, E.P. Xing, Stochastic block models of mixed-membership: General formulation and nested variational inference, In proceedings of the Workshop on Statistical Network Analysis, the 23st International Conference on Machine Learning (ICML-SNA 2006).
- S. Hanneke and E.P Xing, Discrete Temporal Models of Social Networks, In proceedings of the Workshop on Statistical Network Analysis, the 23st International Conference on Machine Learning (ICML-SNA 2006).
- E.M. Airoldi, D.M. Blei, S.E. Fienberg, E.P. Xing, Latent mixed-membership allocation models of relational and multivariate attribute data, Valencia & ISBA Joint World Meeting on Bayesian Statistics (2006).
- E.M Airodi, D.M. Blei, E.P. Xing and S.E. Fienberg, Mixed membership stochastic block models for relational data, with applications to protein-protein interactions, Proceedings of International Biometric Society-ENAR Annual Meetings (2006). (Recipient of the John Van Ryzin Award).
- A Latent Mixed Membership Model for Relational Data. Workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD-2005).
- E.P. Xing, M.I Jordan and S. Russell, Graph partition strategies for generalized mean field inference. Uncertainty in Artificial Intelligence 20 (UAI2004), (eds. Meek and Halpern) AUAI Press, 602-610, 2004. [ps]