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Sequential Classification With Empirically Observed Statistics

, , and . IEEE Transactions on Information Theory, 67 (5): 3095-3113 (May 2021)
DOI: 10.1109/TIT.2021.3059272

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Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization., , , , , and . CoRR, (2022)Sequential Classification With Empirically Observed Statistics., , and . IEEE Trans. Inf. Theory, 67 (5): 3095-3113 (2021)On Streaming Codes With Unequal Error Protection., , , , , and . IEEE J. Sel. Areas Inf. Theory, 2 (4): 1165-1179 (2021)Faster Differentially Private Convex Optimization via Second-Order Methods., , , and . CoRR, (2023)Understanding Generalization via Leave-One-Out Conditional Mutual Information., , , and . ISIT, page 2487-2492. IEEE, (2022)Sequential Classification with Empirically Observed Statistics., , and . ITW, page 1-5. IEEE, (2019)On the Information Complexity of Proper Learners for VC Classes in the Realizable Case., , , and . CoRR, (2020)Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization., , , , and . CoRR, (2024)Why Is Public Pretraining Necessary for Private Model Training?, , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 10611-10627. PMLR, (2023)Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization., , , , , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 663-706. PMLR, (2023)