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Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent

2023

Conference Paper

ei


Author(s): Lin*, J. A. and Antorán*, J. and Padhy*, S. and Janz, D. and Hernández-Lobato, J. M. and Terenin, A.
Book Title: Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Volume: 36
Pages: 36886--36912
Year: 2023
Month: December
Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine
Publisher: Curran Associates, Inc.

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)

Event Name: 37th Annual Conference on Neural Information Processing Systems
Event Place: New Orleans, USA

Note: *equal contribution
State: Published
URL: {https://proceedings.neurips.cc/paper_files/paper/2023/file/7482e8ce4139df1a2d8195a0746fa713-Paper-Conference.pdf

BibTex

@conference{Linetal23,
  title = {Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent},
  author = {Lin*, J. A. and Antorán*, J. and Padhy*, S. and Janz, D. and Hernández-Lobato, J. M. and Terenin, A.},
  booktitle = {Advances in Neural Information Processing Systems 36 (NeurIPS 2023)},
  volume = {36},
  pages = {36886--36912},
  editors = {A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
  publisher = {Curran Associates, Inc.},
  month = dec,
  year = {2023},
  note = {*equal contribution},
  doi = {},
  url = {{https://proceedings.neurips.cc/paper_files/paper/2023/file/7482e8ce4139df1a2d8195a0746fa713-Paper-Conference.pdf},
  month_numeric = {12}
}