Published in: LIPIcs, Volume 300, 39th Computational Complexity Conference (CCC 2024)
Josh Alman and Yunfeng Guan. Finer-Grained Hardness of Kernel Density Estimation. In 39th Computational Complexity Conference (CCC 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 300, pp. 35:1-35:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
@InProceedings{alman_et_al:LIPIcs.CCC.2024.35, author = {Alman, Josh and Guan, Yunfeng}, title = {{Finer-Grained Hardness of Kernel Density Estimation}}, booktitle = {39th Computational Complexity Conference (CCC 2024)}, pages = {35:1--35:21}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-331-7}, ISSN = {1868-8969}, year = {2024}, volume = {300}, editor = {Santhanam, Rahul}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2024.35}, URN = {urn:nbn:de:0030-drops-204311}, doi = {10.4230/LIPIcs.CCC.2024.35}, annote = {Keywords: Kernel Density Estimation, Fine-Grained Complexity, Schur Polynomials} }
Published in: LIPIcs, Volume 234, 37th Computational Complexity Conference (CCC 2022)
Amol Aggarwal and Josh Alman. Optimal-Degree Polynomial Approximations for Exponentials and Gaussian Kernel Density Estimation. In 37th Computational Complexity Conference (CCC 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 234, pp. 22:1-22:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
@InProceedings{aggarwal_et_al:LIPIcs.CCC.2022.22, author = {Aggarwal, Amol and Alman, Josh}, title = {{Optimal-Degree Polynomial Approximations for Exponentials and Gaussian Kernel Density Estimation}}, booktitle = {37th Computational Complexity Conference (CCC 2022)}, pages = {22:1--22:23}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-241-9}, ISSN = {1868-8969}, year = {2022}, volume = {234}, editor = {Lovett, Shachar}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2022.22}, URN = {urn:nbn:de:0030-drops-165846}, doi = {10.4230/LIPIcs.CCC.2022.22}, annote = {Keywords: polynomial approximation, kernel density estimation, Chebyshev polynomials} }