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Generalization Bounds

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TitleStatusHype
Nonparametric Hawkes Processes: Online Estimation and Generalization Bounds—0
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models—0
Norm-based Generalization Bounds for Compositionally Sparse Neural Networks—0
Nuclear Discrepancy for Active Learning—0
ON BREIMAN’S DILEMMA IN NEURAL NETWORKS: SUCCESS AND FAILURE OF NORMALIZED MARGINS—0
On Certified Generalization in Structured Prediction—0
On Combining Machine Learning with Decision Making—0
On Feature Diversity in Energy-based Models—0
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization—0
On Generalization Bounds for Deep Compound Gaussian Neural Networks—0
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