Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery

Alexander R. Statnikov, Sisi Ma, Mikael Henaff, Nikita I. Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis. Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. Journal of Machine Learning Research, 16:3219-3267, 2015. [doi]

@article{StatnikovMHLEPA15,
  title = {Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery},
  author = {Alexander R. Statnikov and Sisi Ma and Mikael Henaff and Nikita I. Lytkin and Efstratios Efstathiadis and Eric R. Peskin and Constantin F. Aliferis},
  year = {2015},
  url = {http://dl.acm.org/citation.cfm?id=2912102},
  researchr = {https://researchr.org/publication/StatnikovMHLEPA15},
  cites = {0},
  citedby = {0},
  journal = {Journal of Machine Learning Research},
  volume = {16},
  pages = {3219-3267},
}