@InProceedings{nikolov_et_al:LIPIcs.ITCS.2024.85,
  author =	{Nikolov, Aleksandar and Tang, Haohua},
  title =	{{General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean Estimation}},
  booktitle =	{15th Innovations in Theoretical Computer Science Conference (ITCS 2024)},
  pages =	{85:1--85:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-309-6},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{287},
  editor =	{Guruswami, Venkatesan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2024.85},
  URN =		{urn:nbn:de:0030-drops-196133},
  doi =		{10.4230/LIPIcs.ITCS.2024.85},
  annote =	{Keywords: differential privacy, mean estimation, unbiased estimator, instance optimality}
}