| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 |
| Selective Classification via One-Sided Prediction | Oct 15, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| RATT: Leveraging Unlabeled Data to Guarantee Generalization | May 1, 2021 | Generalization BoundsHoldout Set | CodeCode Available | 0 |
| Model-Powered Conditional Independence Test | Sep 18, 2017 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws | May 10, 2025 | Contrastive LearningGeneralization Bounds | CodeCode Available | 0 |
| Generalization Bounds for Sparse Random Feature Expansions | Mar 4, 2021 | BIG-bench Machine LearningCompressive Sensing | CodeCode Available | 0 |
| Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin | Oct 9, 2019 | AllGeneral Classification | CodeCode Available | 0 |
| More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms | Feb 6, 2024 | Generalization BoundsMeta-Learning | CodeCode Available | 0 |
| Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound | Apr 28, 2021 | DiversityGeneralization Bounds | CodeCode Available | 0 |
| Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization | May 23, 2025 | Generalization BoundsOperator learning | CodeCode Available | 0 |
