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Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms.

, , , , and . NeurIPS, (2020)

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Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization., , , , , and . CoRR, (2022)Faster Differentially Private Convex Optimization via Second-Order Methods., , , and . CoRR, (2023)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)Understanding Generalization via Leave-One-Out Conditional Mutual Information., , , and . ISIT, page 2487-2492. IEEE, (2022)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)Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms., , , , and . NeurIPS, (2020)Towards a Unified Information-Theoretic Framework for Generalization., , , and . NeurIPS, page 26370-26381. (2021)Privacy-Preserving and Approximately Truthful Local Electricity Markets: A Differentially Private VCG Mechanism., , , and . IEEE Trans. Smart Grid, 15 (2): 1991-2003 (2024)Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates., , , , and . NeurIPS, page 11013-11023. (2019)