| Gradient Descent can Learn Less Over-parameterized Two-layer Neural Networks on Classification Problems | May 23, 2019 | General ClassificationGeneralization Bounds | —Unverified | 0 | 0 |
| Regularized Gradient Boosting | Dec 1, 2019 | Generalization Bounds | —Unverified | 0 | 0 |
| Regularized Proportional Fairness Mechanism for Resource Allocation Without Money | Jan 2, 2025 | FairnessGeneralization Bounds | —Unverified | 0 | 0 |
| Reinterpreting causal discovery as the task of predicting unobserved joint statistics | May 11, 2023 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions | Oct 22, 2013 | Generalization Boundsregression | —Unverified | 0 | 0 |
| Relative Deviation Margin Bounds | Jun 26, 2020 | Generalization Boundsvalid | —Unverified | 0 | 0 |
| Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression | Feb 12, 2022 | Generalization Boundsregression | —Unverified | 0 | 0 |
| Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics | Dec 2, 2024 | Generalization Boundsregression | —Unverified | 0 | 0 |
| Reward Generalization in RLHF: A Topological Perspective | Feb 15, 2024 | Generalization BoundsLanguage Modelling | —Unverified | 0 | 0 |
| Reweighted Mixup for Subpopulation Shift | Apr 9, 2023 | FairnessGeneralization Bounds | —Unverified | 0 | 0 |
