ML Anthology

Tree-Structured Infinite Sparse Factor Model

XianXing Zhang, David B. Dunson, Lawrence Carin
ICML 2011 pp. 785-792
/icml/2011/zhang2011icml-tree/

Abstract

A new tree-structured multiplicative gamma process (TMGP) is developed, for inferring the depth of a tree-based factor-analysis model. This new model is coupled with the nested Chinese restaurant process, to nonparametrically infer the depth and width (structure) of the tree. In addition to developing the model, theoretical properties of the TMGP are addressed, and a novel MCMC sampler is developed. The structure of the inferred tree is used to learn relationships between high-dimensional data, and the model is also applied to compressive sensing and interpolation of incomplete images.

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Text

Zhang et al. "Tree-Structured Infinite Sparse Factor Model." International Conference on Machine Learning, 2011.

Markdown

[Zhang et al. "Tree-Structured Infinite Sparse Factor Model." International Conference on Machine Learning, 2011.](https://mlanthology.org/icml/2011/zhang2011icml-tree/)

BibTeX

@inproceedings{zhang2011icml-tree,
  title     = {{Tree-Structured Infinite Sparse Factor Model}},
  author    = {Zhang, XianXing and Dunson, David B. and Carin, Lawrence},
  booktitle = {International Conference on Machine Learning},
  year      = {2011},
  pages     = {785-792},
  url       = {https://mlanthology.org/icml/2011/zhang2011icml-tree/}
}