Lancelot F James — accepted AI-conference papers

2017

Bayesian inference on random simple graphs with power law degree distributions

Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi

ICML 2017poster

We present a model for random simple graphs with power law (i.e., heavy-tailed) degree distributions. To attain this behavior, the edge probabilities in the graph are constructed from Bertoin–Fujita–Roynette–Yor (BFRY) random variables, which have been recently utilized in Bayesian statistics for th…

Cited by 9 Source ↗PDF ↗Scholar ↗

2016

Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models

Juho Lee, Lancelot F James, Seungjin Choi

NeurIPS 2016poster

Bayesian nonparametric methods based on the Dirichlet process (DP), gamma process and beta process, have proven effective in capturing aspects of various datasets arising in machine learning. However, it is now recognized that such processes have their limitations in terms of the ability to captur…

Cited by 19 Source ↗PDF ↗Scholar ↗