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Generalization Bounds

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TitleStatusHype
Data-dependent Generalization Bounds via Variable-Size Compressibility—0
Provable Pathways: Learning Multiple Tasks over Multiple Paths—0
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural NetworksCode0
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage—0
Generalization Bounds for Set-to-Set Matching with Negative Sampling—0
Generalization Analysis for Contrastive Representation Learning—0
Generalization Bounds for Adversarial Contrastive Learning—0
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning—0
PAC-Bayesian Generalization Bounds for Adversarial Generative ModelsCode0
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds—0
A unified recipe for deriving (time-uniform) PAC-Bayes bounds—0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Tighter Information-Theoretic Generalization Bounds from SupersamplesCode0
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and SpecificityCode0
Norm-based Generalization Bounds for Compositionally Sparse Neural Networks—0
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions—0
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation—0
Transformers as Algorithms: Generalization and Stability in In-context LearningCode0
How To Prevent the Poor Performance Clients for Personalized Federated Learning?—0
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels—0
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization—0
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers—0
PAC-Bayesian Treatment Allocation Under Budget Constraints—0
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings—0
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization—0
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