| Generalization Analysis for Contrastive Representation Learning | Feb 24, 2023 | Contrastive LearningGeneralization Bounds | —Unverified | 0 |
| Generalization Bounds for Adversarial Contrastive Learning | Feb 21, 2023 | Contrastive LearningGeneralization Bounds | —Unverified | 0 |
| Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning | Feb 20, 2023 | feature selectionGeneralization Bounds | —Unverified | 0 |
| PAC-Bayesian Generalization Bounds for Adversarial Generative Models | Feb 17, 2023 | Dimensionality ReductionGeneralization Bounds | CodeCode Available | 0 |
| PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees | Feb 13, 2023 | Federated LearningGeneralization Bounds | CodeCode Available | 1 |
| Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion | Feb 9, 2023 | Generalization Bounds | CodeCode Available | 1 |
| Information Theoretic Lower Bounds for Information Theoretic Upper Bounds | Feb 9, 2023 | Generalization Bounds | —Unverified | 0 |
| A unified recipe for deriving (time-uniform) PAC-Bayes bounds | Feb 7, 2023 | Generalization Boundsvalid | —Unverified | 0 |
| Generalization Bounds with Data-dependent Fractal Dimensions | Feb 6, 2023 | Generalization BoundsLearning Theory | CodeCode Available | 0 |
| Tighter Information-Theoretic Generalization Bounds from Supersamples | Feb 5, 2023 | Generalization Bounds | CodeCode Available | 0 |
| Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity | Jan 31, 2023 | Generalization BoundsSpecificity | CodeCode Available | 0 |
| Norm-based Generalization Bounds for Compositionally Sparse Neural Networks | Jan 28, 2023 | Generalization Bounds | —Unverified | 0 |
| Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions | Jan 27, 2023 | Generalization Bounds | —Unverified | 0 |
| Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation | Jan 27, 2023 | Generalization Bounds | CodeCode Available | 1 |
| Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation | Jan 25, 2023 | Audio Source SeparationGeneralization Bounds | —Unverified | 0 |
| Transformers as Algorithms: Generalization and Stability in In-context Learning | Jan 17, 2023 | Generalization BoundsIn-Context Learning | CodeCode Available | 0 |
| How To Prevent the Poor Performance Clients for Personalized Federated Learning? | Jan 1, 2023 | Federated LearningGeneralization Bounds | —Unverified | 0 |
| Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels | Jan 1, 2023 | Generalization Bounds | —Unverified | 0 |
| Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization | Dec 27, 2022 | Generalization Bounds | —Unverified | 0 |
| Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers | Dec 23, 2022 | Few-Shot LearningGeneralization Bounds | —Unverified | 0 |
| PAC-Bayesian Treatment Allocation Under Budget Constraints | Dec 18, 2022 | Generalization Bounds | —Unverified | 0 |
| Generalization Bounds for Inductive Matrix Completion in Low-noise Settings | Dec 16, 2022 | Generalization BoundsMatrix Completion | —Unverified | 0 |
| Non-IID Transfer Learning on Graphs | Dec 15, 2022 | Generalization BoundsGRAPH DOMAIN ADAPTATION | CodeCode Available | 1 |
| On Generalization and Regularization via Wasserstein Distributionally Robust Optimization | Dec 12, 2022 | Generalization Bounds | —Unverified | 0 |
| Hedging Complexity in Generalization via a Parametric Distributionally Robust Optimization Framework | Dec 3, 2022 | Generalization BoundsManagement | —Unverified | 0 |