Principal Differences Analysis: Interpretable Characterization of Differences between Distributions

Jonas Mueller, Tommi S. Jaakkola. Principal Differences Analysis: Interpretable Characterization of Differences between Distributions. In Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett, editors, Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. pages 1702-1710, 2015. [doi]

@inproceedings{MuellerJ15,
  title = {Principal Differences Analysis: Interpretable Characterization of Differences between Distributions},
  author = {Jonas Mueller and Tommi S. Jaakkola},
  year = {2015},
  url = {http://papers.nips.cc/paper/5894-principal-differences-analysis-interpretable-characterization-of-differences-between-distributions},
  researchr = {https://researchr.org/publication/MuellerJ15},
  cites = {0},
  citedby = {0},
  pages = {1702-1710},
  booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada},
  editor = {Corinna Cortes and Neil D. Lawrence and Daniel D. Lee and Masashi Sugiyama and Roman Garnett},
}