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Generalization Bounds

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Showing 151–200 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
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural NetworkCode0
More Flexible PAC-Bayesian Meta-Learning by Learning Learning AlgorithmsCode0
Minimum Description Length and Generalization Guarantees for Representation LearningCode0
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random FeaturesCode0
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
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
A Generalization Bound of Deep Neural Networks for Dependent Data—0
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization—0
Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp—0
Understanding prompt engineering may not require rethinking generalization—0
Diffusion Random Feature Model—0
A path-norm toolkit for modern networks: consequences, promises and challengesCode0
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach—0
Fantastic Generalization Measures are Nowhere to be Found—0
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes—0
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming—0
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data—0
Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-SmoothingCode0
Classification with Deep Neural Networks and Logistic Loss—0
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural NetworksCode0
On the sample complexity of parameter estimation in logistic regression with normal design—0
Generalization Guarantees via Algorithm-dependent Rademacher Complexity—0
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