Covariance loss, Szemeredi regularity, and differential privacy

DOI10.1090/PROC/17126MaRDI QIDQ6668388

Thomas Strohmer, March Boedihardjo, Roman Vershynin

Publication date: 22 January 2025

Published in: Proceedings of the American Mathematical Society (Search for Journal in Brave)

Mathematics Subject Classification ID

Statistics (62-XX) Probability theory and stochastic processes (60-XX) Privacy of data (68P27) Combinatorics (05-XX)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Szemerédi's lemma for the analyst
• Quick approximation to matrices and applications
• High-Dimensional Probability
• A unified view of graph regularity via matrix decompositions
• Covariance's loss is privacy's gain: computationally efficient, private and accurate synthetic data
• Optimal Minimization of the Covariance Loss

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