Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes

Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang. Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes. In Silvia Chiappa, Roberto Calandra, editors, The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]. Volume 108 of Proceedings of Machine Learning Research, pages 1363-1374, PMLR, 2020. [doi]

@inproceedings{ChoromanskiPPT20,
  title = {Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes},
  author = {Krzysztof Choromanski and Aldo Pacchiano and Jack Parker-Holder and Yunhao Tang},
  year = {2020},
  url = {http://proceedings.mlr.press/v108/choromanski20a.html},
  researchr = {https://researchr.org/publication/ChoromanskiPPT20},
  cites = {0},
  citedby = {0},
  pages = {1363-1374},
  booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
  editor = {Silvia Chiappa and Roberto Calandra},
  volume = {108},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}