| Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise | Dec 16, 2024 | Generalization BoundsLearning Theory | —Unverified | 0 | 0 |
| Data-dependent Generalization Bounds for Multi-class Classification | Jun 29, 2017 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Approximate Description Length, Covering Numbers, and VC Dimension | Sep 26, 2022 | Generalization Bounds | —Unverified | 0 | 0 |
| Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise | Feb 2, 2025 | Generalization Bounds | —Unverified | 0 | 0 |
| Adversarial Multiple Source Domain Adaptation | Dec 1, 2018 | ClassificationDomain Adaptation | —Unverified | 0 | 0 |
| A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks | Nov 5, 2024 | Generalization Bounds | —Unverified | 0 | 0 |
| Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds | Apr 15, 2018 | Generalization BoundsNeural Network Compression | —Unverified | 0 | 0 |
| Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting | Jun 19, 2022 | Data AugmentationGeneralization Bounds | —Unverified | 0 | 0 |
| Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers | Feb 4, 2020 | Generalization Bounds | —Unverified | 0 | 0 |
| Co-regularization Based Semi-supervised Domain Adaptation | Dec 1, 2010 | Domain AdaptationGeneralization Bounds | —Unverified | 0 | 0 |
