| Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent | Jun 15, 2020 | Generalization Bounds | —Unverified | 0 |
| Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random | May 24, 2024 | Generalization BoundsMissing Values | —Unverified | 0 |
| Fine-grained Generalization Analysis of Vector-valued Learning | Apr 29, 2021 | Extreme Multi-Label ClassificationGeneral Classification | —Unverified | 0 |
| Fine-grained Generalization Analysis of Structured Output Prediction | May 31, 2021 | Generalization BoundsPrediction | —Unverified | 0 |
| A Mechanism of Implicit Regularization in Deep Learning | Sep 25, 2019 | Deep LearningGeneralization Bounds | —Unverified | 0 |
| Formal limitations of sample-wise information-theoretic generalization bounds | May 13, 2022 | Generalization Bounds | —Unverified | 0 |
| Foundations of Coupled Nonlinear Dimensionality Reduction | Sep 29, 2015 | Dimensionality ReductionGeneralization Bounds | —Unverified | 0 |
| Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms | Jun 9, 2021 | Generalization BoundsLearning Theory | —Unverified | 0 |
| From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD | Dec 1, 2023 | Generalization Bounds | —Unverified | 0 |
| A Functional Perspective on Learning Symmetric Functions with Neural Networks | Aug 16, 2020 | Generalization Bounds | —Unverified | 0 |
