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Truncated proposals for scalable and hassle-free simulation-based inference
Michael Deistler, Pedro J. Goncalves, Jakob H. Macke, 2022.
What it's used for here
Advances in Neural Information Processing Systems 35 (NeurIPS 2022); arXiv:2210.04815 (NeurIPS page checked). Sequential NPE by drawing new simulations from the prior truncated to the current posterior's high-probability region, which keeps the posterior valid without importance corrections. Used for T42 round 2.
Our copy
Research copy, for editors and curators. The work is the publisher's, so readers are sent to it. We keep this copy so the citation can be checked if the page changes or goes.
neurips.cc · fetched 29 Oct 2026
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The Voynich Manuscript
MYSThe mystery article
Cite it
Michael Deistler, Pedro J. Goncalves, & Jakob H. Macke (2022). Truncated proposals for scalable and hassle-free simulation-based inference. https://neurips.cc/virtual/2022/poster/54760
@inproceedings{deistler2022truncated,
author = {Michael Deistler} and {Pedro J. Goncalves} and {Jakob H. Macke},
title = {Truncated proposals for scalable and hassle-free simulation-based inference},
year = {2022},
url = {https://neurips.cc/virtual/2022/poster/54760}
}TY - GEN TI - Truncated proposals for scalable and hassle-free simulation-based inference AU - Michael Deistler AU - Pedro J. Goncalves AU - Jakob H. Macke PY - 2022 UR - https://neurips.cc/virtual/2022/poster/54760 ER -
et al.. “Truncated proposals for scalable and hassle-free simulation-based inference.” 2022.