The Complexity of Bayesian Network Learning: Revisiting the Superstructure

Ganian, Robert; Korchemna, Viktoriia

by Robert Ganian, Viktoriia Korchemna

Reference:

The Complexity of Bayesian Network Learning: Revisiting the SuperstructureRobert Ganian, Viktoriia KorchemnaAdvances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual (Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, eds.), pages 430–442, 2021.

Bibtex Entry:

@InProceedings{GanianKorchemna21,
  author    = {Robert Ganian and
               Viktoriia Korchemna},
  editor    = {Marc'Aurelio Ranzato and
               Alina Beygelzimer and
               Yann N. Dauphin and
               Percy Liang and
               Jennifer Wortman Vaughan},
  title     = {The Complexity of Bayesian Network Learning: Revisiting the Superstructure},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
               on Neural Information Processing Systems 2021, NeurIPS 2021, December
               6-14, 2021, virtual},
  pages     = {430--442},
  year      = {2021},
  url       = {https://proceedings.neurips.cc/paper/2021/hash/040a99f23e8960763e680041c601acab-Abstract.html},
  keywords  = {nfpc,ParAI}
}