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Generalization Bounds

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TitleStatusHype
On the Importance of Gradient Norm in PAC-Bayesian Bounds—0
On the Role of Generalization in Transferability of Adversarial Examples—0
On the sample complexity of parameter estimation in logistic regression with normal design—0
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond—0
On Tighter Generalization Bounds for Deep Neural Networks: CNNs, ResNets, and Beyond—0
Optimal deep learning of holomorphic operators between Banach spaces—0
Optimal Weak to Strong Learning—0
Optimization and Adaptive Generalization of Three layer Neural Networks—0
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD—0
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD—0
Out-of-distribution generalization for learning quantum dynamics—0
PAC-Bayes and Domain Adaptation—0
PAC-Bayes and Information Complexity—0
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction—0
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning—0
PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons—0
PAC-Bayesian Neural Network Bounds—0
PAC-Bayesian Offline Contextual Bandits With Guarantees—0
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization—0
PAC-Bayesian Treatment Allocation Under Budget Constraints—0
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes—0
Partial differential equation regularization for supervised machine learning—0
Light Unbalanced Optimal Transport—0
Passive Learning with Target Risk—0
A rescaling-invariant Lipschitz bound based on path-metrics for modern ReLU network parameterizations—0
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