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Generalization Bounds

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TitleStatusHype
Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees—0
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisCode0
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation LearningCode1
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets—0
Improved Generalization Bounds for Communication Efficient Federated Learning—0
Stability and Generalization in Free Adversarial TrainingCode0
Generalization Bounds for Message Passing Networks on Mixture of Graphons—0
Information-Theoretic Generalization Bounds for Deep Neural Networks—0
An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics—0
A PAC-Bayesian Framework for Optimal Control with Stability GuaranteesCode0
A note on generalization bounds for losses with finite moments—0
Do Generated Data Always Help Contrastive Learning?Code1
Generalization of Scaled Deep ResNets in the Mean-Field Regime—0
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness—0
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
Generalizing across Temporal Domains with Koopman Operators—0
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck EquationCode0
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
Non-Vacuous Generalization Bounds for Large Language ModelsCode1
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
Time-Independent Information-Theoretic Generalization Bounds for SGLD—0
Generalization Bounds for Label Noise Stochastic Gradient Descent—0
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds—0
Weighted Distance Nearest Neighbor Condensing—0
Sequence Length Independent Norm-Based Generalization Bounds for TransformersCode0
Comparing Comparators in Generalization BoundsCode0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data—0
On Generalization Bounds for Projective Clustering—0
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients—0
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization—0
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