A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments. Foster, A., Jankowiak, M., O'Meara, M., Teh, Y. W., & Rainforth, T. CoRR, 2019. Paper bibtex @article{DBLP:journals/corr/abs-1911-00294,
author = {Adam Foster and
Martin Jankowiak and
Matthew O'Meara and
Yee Whye Teh and
Tom Rainforth},
title = {A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal
Experiments},
journal = {CoRR},
volume = {abs/1911.00294},
year = {2019},
url = {http://arxiv.org/abs/1911.00294},
eprinttype = {arXiv},
eprint = {1911.00294},
timestamp = {Mon, 11 Nov 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1911-00294.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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