Data Augmentation MCMC for Bayesian Inference from Privatized Data

Nianqiao Ju, Jordan Awan, Ruobin Gong, Vinayak Rao. Data Augmentation MCMC for Bayesian Inference from Privatized Data. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{JuAGR22,
  title = {Data Augmentation MCMC for Bayesian Inference from Privatized Data},
  author = {Nianqiao Ju and Jordan Awan and Ruobin Gong and Vinayak Rao},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/529d0f9b0fb7c8d4b7d52221faee48d6-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/JuAGR22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}