Conference item
A unified stochastic gradient approach to designing Bayesian-optimal experiments
- Publication status:
- Published
- Peer review status:
- Reviewed (other)
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(Preview, Version of record, pdf, 809.3KB, Terms of use)
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- Publication website:
- http://proceedings.mlr.press/v108/foster20a.html
Authors
- Publisher:
- PMLR
- Host title:
- Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics
- Journal:
- Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics More from this journal
- Volume:
- 108
- Issue:
- 2020
- Pages:
- 2959-2969
- Publication date:
- 2020-06-03
- Acceptance date:
- 2020-01-07
- Event title:
- International Conference on Artificial Intelligence and Statistics
- Event location:
- Online
- Event website:
- https://www.aistats.org/
- Event start date:
- 2020-08-26
- Event end date:
- 2020-08-28
- Language:
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English
- Keywords:
- Pubs id:
-
1130155
- Local pid:
-
pubs:1130155
- Deposit date:
-
2020-09-03
- ARK identifier:
Terms of use
- Copyright holder:
- Foster et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 by the author(s).
- Notes:
- This paper was presented at the Twenty Third International Conference on Artificial Intelligence and Statistics (2020 AISTATS). Publication has no DOI, but the paper is available from PMLR at: http://proceedings.mlr.press/v108/foster20a.html
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