Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective

Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro. Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event. Volume 119 of Proceedings of Machine Learning Research, pages 11141-11152, PMLR, 2020. [doi]

@inproceedings{ZhangKI20,
  title = {Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective},
  author = {Ruixiang Zhang and Masanori Koyama and Katsuhiko Ishiguro},
  year = {2020},
  url = {http://proceedings.mlr.press/v119/zhang20m.html},
  researchr = {https://researchr.org/publication/ZhangKI20},
  cites = {0},
  citedby = {0},
  pages = {11141-11152},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event},
  volume = {119},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}