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Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit.

, , , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 3-40. PMLR, (2020)

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Unified lower bounds for interactive high-dimensional estimation under information constraints., , , and . CoRR, (2020)Discrete Distribution Estimation under User-level Local Differential Privacy., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 8561-8585. PMLR, (2023)Differentially Private Testing of Identity and Closeness of Discrete Distributions., , and . NeurIPS, page 6879-6891. (2018)The importance of feature preprocessing for differentially private linear optimization., , and . CoRR, (2023)INSPECTRE: Privately Estimating the Unseen., , , and . J. Priv. Confidentiality, (2020)Interactive Inference under Information Constraints., , , , and . CoRR, (2020)Context Aware Local Differential Privacy., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 52-62. PMLR, (2020)User-level Private Stochastic Convex Optimization with Optimal Rates., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1838-1851. PMLR, (2023)Sample Complexity of Distinguishing Cause from Effect., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10487-10504. PMLR, (2023)Learning with User-Level Privacy., , , , , , and . NeurIPS, page 12466-12479. (2021)