Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA

Sébastien Lachapelle, Pau Rodríguez, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien. Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA. In Bernhard Schölkopf, Caroline Uhler, Kun Zhang 0001, editors, 1st Conference on Causal Learning and Reasoning, CLeaR 2022, Sequoia Conference Center, Eureka, CA, USA, 11-13 April, 2022. Volume 177 of Proceedings of Machine Learning Research, pages 428-484, PMLR, 2022. [doi]

@inproceedings{LachapelleRSEPL22,
  title = {Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA},
  author = {Sébastien Lachapelle and Pau Rodríguez and Yash Sharma and Katie Everett and Rémi Le Priol and Alexandre Lacoste and Simon Lacoste-Julien},
  year = {2022},
  url = {https://proceedings.mlr.press/v177/lachapelle22a.html},
  researchr = {https://researchr.org/publication/LachapelleRSEPL22},
  cites = {0},
  citedby = {0},
  pages = {428-484},
  booktitle = {1st Conference on Causal Learning and Reasoning, CLeaR 2022, Sequoia Conference Center, Eureka, CA, USA, 11-13 April, 2022},
  editor = {Bernhard Schölkopf and Caroline Uhler and Kun Zhang 0001},
  volume = {177},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}