Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNs

Deepak Venugopal, Somdeb Sarkhel, Kyle Cherry. Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNs. In Alexander T. Ihler, Dominik Janzing, editors, Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA. AUAI Press, 2016. [doi]

@inproceedings{VenugopalSC16,
  title = {Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNs},
  author = {Deepak Venugopal and Somdeb Sarkhel and Kyle Cherry},
  year = {2016},
  url = {http://auai.org/uai2016/proceedings/papers/308.pdf},
  researchr = {https://researchr.org/publication/VenugopalSC16},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA},
  editor = {Alexander T. Ihler and Dominik Janzing},
  publisher = {AUAI Press},
  isbn = {978-0-9966431-1-5},
}