Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise

Makoto Yamada, Masashi Sugiyama. Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. In Maria Fox, David Poole, editors, Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010. pages 643-648, AAAI Press, 2010. [doi]

@inproceedings{YamadaS10,
  title = {Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise},
  author = {Makoto Yamada and Masashi Sugiyama},
  year = {2010},
  url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/view/1602},
  researchr = {https://researchr.org/publication/YamadaS10},
  cites = {0},
  citedby = {0},
  pages = {643-648},
  booktitle = {Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010},
  editor = {Maria Fox and David Poole},
  publisher = {AAAI Press},
}