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Generalization Bounds

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TitleStatusHype
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning—0
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks—0
Generalization bounds for deep learning—0
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss EmbeddingsCode0
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds—0
Sharper Generalization Bounds for Pairwise Learning—0
Instance-based Generalization in Reinforcement Learning—0
Adapting Neural Architectures Between DomainsCode0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
Neural Abstract Reasoner—0
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin BoundCode0
Instance based Generalization in Reinforcement LearningCode0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
Toward Better Generalization Bounds with Locally Elastic Stability—0
In Search of Robust Measures of GeneralizationCode1
Non-parametric Binary regression in metric spaces with KL loss—0
Failures of model-dependent generalization bounds for least-norm interpolation—0
Selective Classification via One-Sided PredictionCode0
Minimax Classification with 0-1 Loss and Performance GuaranteesCode1
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks—0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
Lipschitz Bounded Equilibrium Networks—0
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
Benign overfitting in ridge regression—0
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