Creative Commons Attribution 4.0 license (CC BY 4.0)when quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2022.4
URN: urn:nbn:de:0030-drops-163459
URL: https://drops.dagstuhl.de/opus/volltexte/2022/16345/
Lee, Yin Tat ; Vempala, Santosh S.
The Manifold Joys of Sampling (Invited Talk)
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Abstract
We survey recent progress and many open questions in the field of sampling high-dimensional distributions, with specific focus on sampling with non-Euclidean metrics.
BibTeX - Entry
@InProceedings{lee_et_al:LIPIcs.ICALP.2022.4,
author = {Lee, Yin Tat and Vempala, Santosh S.},
title = {{The Manifold Joys of Sampling}},
booktitle = {49th International Colloquium on Automata, Languages, and Programming (ICALP 2022)},
pages = {4:1--4:20},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-235-8},
ISSN = {1868-8969},
year = {2022},
volume = {229},
editor = {Boja\'{n}czyk, Miko{\l}aj and Merelli, Emanuela and Woodruff, David P.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2022/16345},
URN = {urn:nbn:de:0030-drops-163459},
doi = {10.4230/LIPIcs.ICALP.2022.4},
annote = {Keywords: Sampling, Diffusion, Optimization, High Dimension}
}
| Keywords: | Sampling, Diffusion, Optimization, High Dimension | |
| Seminar: | 49th International Colloquium on Automata, Languages, and Programming (ICALP 2022) | |
| Issue date: | 2022 | |
| Date of publication: | 28.06.2022 |
