共 50 条
- [1] Strengthened Information-theoretic Bounds on the Generalization Error [J]. 2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2019, : 582 - 586
- [2] Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization [J]. INTERNATIONAL CONFERENCE ON ALGORITHMIC LEARNING THEORY, VOL 201, 2023, 201 : 663 - 706
- [4] Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms [J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2021, : 682 - 687
- [5] Generalization Bounds for Meta-Learning: An Information-Theoretic Analysis [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
- [7] Time-Independent Information-Theoretic Generalization Bounds for SGLD [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
- [9] Formal limitations of sample-wise information-theoretic generalization bounds [J]. 2022 IEEE INFORMATION THEORY WORKSHOP (ITW), 2022, : 440 - 445
- [10] Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning [J]. PROCEEDINGS OF THE 21ST IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (IEEE SPAWC2020), 2020,