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Differentially Private Assouad, Fano, and Le Cam

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Test without Trust: Optimal Locally Private Distribution Testing., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 2067-2076. PMLR, (2019)On reconstructing a string from its substring compositions., , , , и . ISIT, стр. 1238-1242. IEEE, (2010)Distributed Learning with Sublinear Communication., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 40-50. PMLR, (2019)INSPECTRE: Privately Estimating the Unseen., , , и . J. Priv. Confidentiality, (2020)The Role of Interactivity in Structured Estimation., , , и . COLT, том 178 из Proceedings of Machine Learning Research, стр. 1328-1355. PMLR, (2022)Information-constrained optimization: can adaptive processing of gradients help?, , , и . NeurIPS, стр. 7126-7138. (2021)Context Aware Local Differential Privacy., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 52-62. PMLR, (2020)Sample Complexity of Distinguishing Cause from Effect., , , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 10487-10504. PMLR, (2023)Distributed Signal Detection under Communication Constraints., , и . COLT, том 125 из Proceedings of Machine Learning Research, стр. 41-63. PMLR, (2020)Optimal Probability Estimation with Applications to Prediction and Classification., , , и . COLT, том 30 из JMLR Workshop and Conference Proceedings, стр. 764-796. JMLR.org, (2013)