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Generalization Bounds

Papers

Showing 576600 of 686 papers

TitleStatusHype
Generalization Bounds for Vicinal Risk Minimization Principle0
Pseudo-Bayesian Learning with Kernel Fourier Transform as PriorCode0
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization BoundsCode0
On PAC-Bayesian Bounds for Random ForestsCode1
Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin DynamicsCode0
Improved Generalization Bounds for Adversarially Robust Learning0
Rademacher Generalization Bounds for Classifier Chains0
A Surprising Linear Relationship Predicts Test Performance in Deep NetworksCode0
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization BoundsCode0
Multi-distance Support Matrix Machines0
Dropout Training, Data-dependent Regularization, and Generalization Bounds0
The Generalization Error of Dictionary Learning with Moreau Envelopes0
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond0
Chaining Mutual Information and Tightening Generalization Bounds0
Minnorm training: an algorithm for training over-parameterized deep neural networks0
Learning latent variable structured prediction models with Gaussian perturbations0
VC-Dimension Based Generalization Bounds for Relational Learning0
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression ApproachCode0
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds0
Data-dependent PAC-Bayes priors via differential privacy0
Stronger generalization bounds for deep nets via a compression approach0
To understand deep learning we need to understand kernel learning0
Nonparametric Hawkes Processes: Online Estimation and Generalization Bounds0
Lifelong Learning by Adjusting Priors0
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Data-dependent PAC-Bayes priors via differential privacy0
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