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commit 2751beae3a898c93e47066da155b1f6ed2c8aeb5
Author: buildbot <[email protected]>
AuthorDate: Mon Feb 6 10:02:30 2023 +0000

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@@ -600,10 +600,14 @@ All algorithms in the library produce mergeable 
summaries, and come with formal
 
 <p><strong>[CEM+15]</strong> Michael B. Cohen, Sam Elder, Cameron Musco, 
Christopher Musco, and Madalina Persu. Dimensionality reduction for k-means 
clustering and low rank approximation. In <em>ACM STOC Proceedings ‘15</em>, 
pages 163–172, 2015.</p>
 
-<p><strong>[CKLTV+20]</strong> Graham Cormode, Zohar Karnin, Edo Liberty, 
Justin Thaler, Pavel Vesely. Relative Error Streaming Quantiles, In 
<em>arXiv.org</em>, 2020.</p>
+<p><strong>[CKLTV+20]</strong> Graham Cormode, Zohar Karnin, Edo Liberty, 
Justin Thaler, Pavel Vesely. Relative Error Streaming Quantiles, 
+In <em>In Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on 
Principles of Database Systems</em>, 2021.
+<a href="https://dl.acm.org/doi/abs/10.1145/3452021.3458323";>Paper</a></p>
 
 <p><strong>[DLRT16]</strong> Anirban Dasgupta, Kevin J. Lang, Lee Rhodes, and 
Justin Thaler. A framework for estimating stream expression cardinalities. In 
*EDBT/ICDT Proceedings ‘16 *, pages 6:1–6:17, 2016. <a 
href="https://arxiv.org/pdf/1510.01455.pdf";>Paper</a>. <a 
href="https://github.com/apache/datasketches-website/blob/master/docs/pdf/icdt-talk.pdf";>Talk
 Slides</a>.</p>
 
+<p><strong>[DTT22]</strong> Charlie Dickens, Justin Thaler, Daniel Ting. 
Order-Invariant Cardinality Estimators Are Differentially Private. In 
<em>Advances in Neural Information Processing Systems.</em> <a 
href="https://arxiv.org/abs/2203.15400";>Paper</a>, <a 
href="https://neurips.cc/virtual/2022/poster/54146";>Slides</a>, <a 
href="https://neurips.cc/media/PosterPDFs/NeurIPS%202022/54146.png?t=1669130364.160391";>Poster</a></p>
+
 <p><strong>[FFGM07]</strong> Philippe Flajolet, E ́ric Fusy, Olivier Gandouet, 
and Fre ́de ́ric Meunier. Hyperloglog: the analysis of a near-optimal 
cardinality estimation algorithm. In <em>DMTCS Conference on Analysis of 
Algorithms</em>, pages 137–156, 2007.</p>
 
 <p><strong>[FM85]</strong> P. Flajolet and G. N. Martin. Probabilistic 
counting algorithms for data base applications. In <em>Journal of Computer and 
System Sciences</em>, 31:182–209, 1985.</p>


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