| Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning | Nov 14, 2019 | Generalization BoundsMulti-Label Learning | CodeCode Available | 0 |
| Robustness, Privacy, and Generalization of Adversarial Training | Dec 25, 2020 | Generalization BoundsPrivacy Preserving | CodeCode Available | 0 |
| Robustness to Augmentations as a Generalization metric | Jan 16, 2021 | Generalization Bounds | CodeCode Available | 0 |
| Does the Data Induce Capacity Control in Deep Learning? | Oct 27, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound | Jun 23, 2021 | Generalization Bounds | CodeCode Available | 0 |
| Learning the optimal Tikhonov regularizer for inverse problems | Jun 11, 2021 | DeblurringDenoising | CodeCode Available | 0 |
| An adaptive nearest neighbor rule for classification | May 29, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task Learning | Jan 31, 2025 | Generalization BoundsMulti-Task Learning | CodeCode Available | 0 |
| Learning Where to Learn: Training Distribution Selection for Provable OOD Performance | May 27, 2025 | Bilevel OptimizationGeneralization Bounds | CodeCode Available | 0 |
| Slicing Mutual Information Generalization Bounds for Neural Networks | Jun 6, 2024 | Generalization BoundsModel Compression | CodeCode Available | 0 |
