165 citations · 488 across the 9 of their papers we have counts for
5 papers · 1 filter
Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning
Le Song, Han Liu, Ankur Parikh +1
Tree structured graphical models are powerful at expressing long range or hierarchical dependency among many variables, and have been widely applied in different areas of computer…
Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks
Qirong Ho, Ankur P. Parikh, Le Song +1
Actors in realistic social networks play not one but a number of diverse roles depending on whom they interact with, and a large number of such role-specific interactions collectiv…
Kernel Bayes' rule
Kenji Fukumizu, Le Song, Arthur Gretton
A nonparametric kernel-based method for realizing Bayes' rule is proposed, based on representations of probabilities in reproducing kernel Hilbert spaces. Probabilities are uniquel…
A state-space mixed membership blockmodel for dynamic network tomography
Eric P. Xing, Wenjie Fu, Le Song
In a dynamic social or biological environment, the interactions between the actors can undergo large and systematic changes. In this paper we propose a model-based approach to anal…
Estimating time-varying networks
Mladen Kolar, Le Song, Amr Ahmed +1
Stochastic networks are a plausible representation of the relational information among entities in dynamic systems such as living cells or social communities. While there is a rich…