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Generalization Bounds

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Showing 151–175 of 686 papers

TitleStatusHype
Generalization of Graph Neural Networks through the Lens of Homomorphism—0
On Generalization Bounds for Deep Compound Gaussian Neural Networks—0
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresCode0
Reward Generalization in RLHF: A Topological Perspective—0
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization—0
Active Few-Shot Fine-Tuning—0
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck EquationCode0
Generalizing across Temporal Domains with Koopman Operators—0
Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite SpacesCode0
More Flexible PAC-Bayesian Meta-Learning by Learning Learning AlgorithmsCode0
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural NetworkCode0
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random FeaturesCode0
Minimum Description Length and Generalization Guarantees for Representation LearningCode0
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach—0
Theoretical and Empirical Advances in Forest Pruning—0
Data-Dependent Stability Analysis of Adversarial Training—0
Class-wise Generalization Error: an Information-Theoretic Analysis—0
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning—0
Statistical Spatially Inhomogeneous Diffusion Inference—0
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction—0
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD—0
A unified framework for learning with nonlinear model classes from arbitrary linear samples—0
Aggregation Weighting of Federated Learning via Generalization Bound Estimation—0
Information-theoretic generalization bounds for learning from quantum data—0
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications—0
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