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| Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms | Jul 11, 2024 | Generalization BoundsLearning Theory | —Unverified | 0 | 0 |
| To understand deep learning we need to understand kernel learning | Feb 5, 2018 | Deep LearningGeneralization Bounds | —Unverified | 0 | 0 |
| Toward Better Generalization Bounds with Locally Elastic Stability | Oct 27, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 | 0 |
| Towards a Unified Information-Theoretic Framework for Generalization | Nov 9, 2021 | Generalization Bounds | —Unverified | 0 | 0 |
| Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization | Feb 24, 2025 | Generalization BoundsIn-Context Learning | —Unverified | 0 | 0 |
| Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders | Jun 7, 2022 | Generalization BoundsKnowledge Distillation | —Unverified | 0 | 0 |
| Towards optimally abstaining from prediction with OOD test examples | May 28, 2021 | Binary ClassificationGeneralization Bounds | —Unverified | 0 | 0 |
