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Generalization Bounds

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TitleStatusHype
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
On Generalization Bounds for Neural Networks with Low Rank Layers—0
On Generalization Bounds for Projective Clustering—0
On Generalization Bounds of a Family of Recurrent Neural Networks—0
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning—0
On how to avoid exacerbating spurious correlations when models are overparameterized—0
On Leave-One-Out Conditional Mutual Information For Generalization—0
Online Optimization for Learning to Communicate over Time-Correlated Channels—0
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis—0
Online-to-PAC generalization bounds under graph-mixing dependencies—0
On Localized Discrepancy for Domain Adaptation—0
On Predicting Generalization using GANs—0
On Rademacher Complexity-based Generalization Bounds for Deep Learning—0
On Rank-Dependent Generalisation Error Bounds for Transformers—0
On the accuracy of self-normalized log-linear models—0
On the benefits of output sparsity for multi-label classification—0
On the Discrimination-Generalization Tradeoff in GANs—0
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions—0
On the generalization of bayesian deep nets for multi-class classification—0
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds—0
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