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Public-data Assisted Private Stochastic Optimization: Power and Limitations., , , , and . CoRR, (2024)Generalization bounds for Kernel Canonical Correlation Analysis., and . Trans. Mach. Learn. Res., (2023)Private Federated Learning with Autotuned Compression., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34668-34708. PMLR, (2023)Faster Rates of Convergence to Stationary Points in Differentially Private Optimization., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1060-1092. PMLR, (2023)Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates., , , , and . ALT, volume 237 of Proceedings of Machine Learning Research, page 868-906. PMLR, (2024)Adversarial Robustness is at Odds with Lazy Training., , , and . NeurIPS, (2022)Improved Algorithms for Time Decay Streams., , , and . APPROX-RANDOM, volume 145 of LIPIcs, page 27:1-27:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)From Adaptive Query Release to Machine Unlearning., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34642-34667. PMLR, (2023)Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates., , , , and . CoRR, (2023)Streaming Kernel PCA with O(n) Random Features., , , and . NeurIPS, page 7322-7332. (2018)