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Leveraging Public Data for Practical Private Query Release.

, , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 6968-6977. PMLR, (2021)

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Giuseppe Olivato

Giuseppe Veltri

Giuseppe Valenza

Giuseppe Rossi

Giuseppe Amato

 

Другие публикации лиц с тем же именем

Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods., , и . CoRR, (2021)Improved Regret for Differentially Private Exploration in Linear MDP., , и . CoRR, (2022)Oracle Efficient Private Non-Convex Optimization., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 7243-7252. PMLR, (2020)Private Synthetic Data for Multitask Learning and Marginal Queries., , , , , , , , и . NeurIPS, (2022)Leveraging Public Data for Practical Private Query Release., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 6968-6977. PMLR, (2021)Improved Regret for Differentially Private Exploration in Linear MDP., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 16529-16552. PMLR, (2022)Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods., , и . NeurIPS, стр. 690-702. (2021)New Oracle-Efficient Algorithms for Private Synthetic Data Release., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 9765-9774. PMLR, (2020)Generating Private Synthetic Data with Genetic Algorithms., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 22009-22027. PMLR, (2023)Private Reinforcement Learning with PAC and Regret Guarantees., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 9754-9764. PMLR, (2020)