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pdfformat: 

@InProceedings{tai:LIPIcs.SoCG.2022.63, author = {Tai, Wai Ming}, title = {{Optimal Coreset for Gaussian Kernel Density Estimation}}, booktitle = {38th International Symposium on Computational Geometry (SoCG 2022)}, pages = {63:163:15}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {9783959772273}, ISSN = {18688969}, year = {2022}, volume = {224}, editor = {Goaoc, Xavier and Kerber, Michael}, publisher = {Schloss Dagstuhl  LeibnizZentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/opus/volltexte/2022/16071}, URN = {urn:nbn:de:0030drops160719}, doi = {10.4230/LIPIcs.SoCG.2022.63}, annote = {Keywords: Discrepancy Theory, Kernel Density Estimation, Coreset} }
Keywords:  Discrepancy Theory, Kernel Density Estimation, Coreset  
Collection:  38th International Symposium on Computational Geometry (SoCG 2022)  
Issue Date:  2022  
Date of publication:  01.06.2022 