DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search

Martin Aumüller, Matti Karppa, Rasmus Pagh

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Original language	English
Title of host publication	AISTATS 2022 : International Conference on Artificial Intelligence and Statistics
Volume	151
Publication date	2022
Pages	3108-3137
Publication status	Published - 2022
Event	International Conference on Artificial Intelligence and Statistics - Duration: 28 Mar 2022 → …

Conference	International Conference on Artificial Intelligence and Statistics
Period	28/03/2022 → …

Access to Document

@inproceedings{f4f6c1a035f641d1861c90d500bf3f38,

title = "DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search",

author = "Martin Aum{\"u}ller and Matti Karppa and Rasmus Pagh",

year = "2022",

language = "English",

volume = "151",

pages = "3108--3137",

booktitle = "AISTATS 2022",

note = " International Conference on Artificial Intelligence and Statistics ; Conference date: 28-03-2022",

}

Aumüller, M, Karppa, M & Pagh, R 2022, DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search. in AISTATS 2022: International Conference on Artificial Intelligence and Statistics. vol. 151, pp. 3108-3137, International Conference on Artificial Intelligence and Statistics, 28/03/2022. <https://proceedings.mlr.press/v151/karppa22a.html>

DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search. / Aumüller, Martin; Karppa, Matti; Pagh, Rasmus.
AISTATS 2022: International Conference on Artificial Intelligence and Statistics. Vol. 151 2022. p. 3108-3137.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review