Query efficient posterior estimation in scientific experiments via Bayesian active learning
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1763817
- Alternate Identifier(s):
- OSTI ID: 1397614
- Grant/Contract Number:
- DESC0011114
- Resource Type:
- Published Article
- Journal Name:
- Artificial Intelligence
- Additional Journal Information:
- Journal Name: Artificial Intelligence Journal Volume: 243 Journal Issue: C; Journal ID: ISSN 0004-3702
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
Citation Formats
Kandasamy, Kirthevasan, Schneider, Jeff, and Póczos, Barnabás. Query efficient posterior estimation in scientific experiments via Bayesian active learning. Netherlands: N. p., 2017.
Web. doi:10.1016/j.artint.2016.11.002.
Kandasamy, Kirthevasan, Schneider, Jeff, & Póczos, Barnabás. Query efficient posterior estimation in scientific experiments via Bayesian active learning. Netherlands. https://doi.org/10.1016/j.artint.2016.11.002
Kandasamy, Kirthevasan, Schneider, Jeff, and Póczos, Barnabás. Wed .
"Query efficient posterior estimation in scientific experiments via Bayesian active learning". Netherlands. https://doi.org/10.1016/j.artint.2016.11.002.
@article{osti_1763817,
title = {Query efficient posterior estimation in scientific experiments via Bayesian active learning},
author = {Kandasamy, Kirthevasan and Schneider, Jeff and Póczos, Barnabás},
abstractNote = {},
doi = {10.1016/j.artint.2016.11.002},
journal = {Artificial Intelligence},
number = C,
volume = 243,
place = {Netherlands},
year = {Wed Feb 01 00:00:00 EST 2017},
month = {Wed Feb 01 00:00:00 EST 2017}
}
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.artint.2016.11.002
https://doi.org/10.1016/j.artint.2016.11.002
Other availability
Cited by: 14 works
Citation information provided by
Web of Science
Web of Science
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
emcee : The MCMC Hammer
journal, March 2013
- Foreman-Mackey, Daniel; Hogg, David W.; Lang, Dustin
- Publications of the Astronomical Society of the Pacific, Vol. 125, Issue 925
A Distribution-Free Theory of Nonparametric Regression
book, January 2002
- Györfi, László; Kohler, Michael; Krzyżak, Adam
- Springer Series in Statistics
Scrutinizing Exotic Cosmological Models Using ESSENCE Supernova Data Combined with Other Cosmological Probes
journal, September 2007
- Davis, T. M.; Mortsell, E.; Sollerman, J.
- The Astrophysical Journal, Vol. 666, Issue 2
Approximate Bayesian computational methods
journal, October 2011
- Marin, Jean-Michel; Pudlo, Pierre; Robert, Christian P.
- Statistics and Computing, Vol. 22, Issue 6
On sequential Monte Carlo, partial rejection control and approximate Bayesian computation
journal, February 2012
- Peters, G. W.; Fan, Y.; Sisson, S. A.
- Statistics and Computing, Vol. 22, Issue 6
Bayesian approach to global optimization and application to multiobjective and constrained problems
journal, July 1991
- Mockus, J. B.; Mockus, L. J.
- Journal of Optimization Theory and Applications, Vol. 70, Issue 1
Nested sampling for general Bayesian computation
journal, December 2006
- Skilling, John
- Bayesian Analysis, Vol. 1, Issue 4
Markov chain Monte Carlo without likelihoods
journal, December 2003
- Marjoram, P.; Molitor, J.; Plagnol, V.
- Proceedings of the National Academy of Sciences, Vol. 100, Issue 26