| Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics | Dec 2, 2024 | Generalization Boundsregression | —Unverified | 0 |
| On Generalization Bounds for Neural Networks with Low Rank Layers | Nov 20, 2024 | Generalization BoundsInductive Bias | —Unverified | 0 |
| Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression | Nov 19, 2024 | Generalization Bounds | —Unverified | 0 |
| Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds | Nov 9, 2024 | Generalization BoundsMULTI-VIEW LEARNING | —Unverified | 0 |
| Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs | Nov 8, 2024 | Generalization Bounds | —Unverified | 0 |
| A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks | Nov 5, 2024 | Generalization Bounds | —Unverified | 0 |
| Generalization Bounds via Conditional f-Information | Oct 30, 2024 | Generalization Bounds | CodeCode Available | 0 |
| Robust Model Evaluation over Large-scale Federated Networks | Oct 26, 2024 | Generalization Boundsmodel | —Unverified | 0 |
| On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds | Oct 21, 2024 | Binary ClassificationGeneralization Bounds | —Unverified | 0 |
| On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New Way to Learn Cold Posteriors with Tight Generalization Guarantees | Oct 20, 2024 | Bayesian InferenceGeneralization Bounds | CodeCode Available | 0 |