License: Creative Commons Attribution 4.0 International 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: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16345/
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Lee, Yin Tat ; Vempala, Santosh S.

The Manifold Joys of Sampling (Invited Talk)

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LIPIcs-ICALP-2022-4.pdf (1.0 MB)

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
Collection: 49th International Colloquium on Automata, Languages, and Programming (ICALP 2022)
Issue Date: 2022
Date of publication: 28.06.2022

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