https://hackerpaper.kaipfister.de/p/2102.08244/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=36830389urn:hackerpapers:mention:2102.08244:36830389Sat, 22 Jul 2023 22:01:20 GMT<p>Here are a few papers on some scattered DP topics. I&#x27;m working on a guide to learning DP now similar to one I&#x27;ve written on measure theory in the past. The Matrix Mechanism (2015) https://people.cs.umass.edu/~miklau/assets/pubs/dp/Li15matri... Good introduction to the select-measure-reconstruct approach to answering large sets of linear queries (e.g. histograms, averages, ...). This paper is important for the statistics approach to DP synthetic data (which is what I primarily work on): https://differentialprivacy.org/synth-data-1/ Differentially Private Quantiles (2021)…</p><p><a href="https://hackerpaper.kaipfister.de/p/2102.08244/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG