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Generalization Bounds

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Showing 201–250 of 686 papers

TitleStatusHype
On Certified Generalization in Structured Prediction—0
A Unified Model and Dimension for Interactive Estimation—0
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm—0
On Feature Diversity in Energy-based Models—0
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression—0
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis—0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching—0
Learning Capacity: A Measure of the Effective Dimensionality of a Model—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data—0
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent—0
A unified framework for information-theoretic generalization bounds—0
Generalization Bounds for Neural Belief Propagation Decoders—0
Double-Weighting for Covariate Shift AdaptationCode0
Reinterpreting causal discovery as the task of predicting unobserved joint statistics—0
Towards Understanding Generalization of Macro-AUC in Multi-label LearningCode0
Reweighted Mixup for Subpopulation Shift—0
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain AdaptationCode0
Infinite-dimensional reservoir computing—0
Uncertainty Calibration for Counterfactual Propensity Estimation in RecommendationCode0
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization—0
Fair Off-Policy Learning from Observational Data—0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks—0
Light Unbalanced Optimal Transport—0
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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