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Generalization Bounds

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TitleStatusHype
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds—0
Adversarial Multiple Source Domain Adaptation—0
The Structure of Optimal Private Tests for Simple Hypotheses—0
Sorting out Lipschitz function approximationCode0
Generalization Bounds for Vicinal Risk Minimization Principle—0
Pseudo-Bayesian Learning with Kernel Fourier Transform as PriorCode0
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization BoundsCode0
Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin DynamicsCode0
Improved Generalization Bounds for Adversarially Robust Learning—0
Rademacher Generalization Bounds for Classifier Chains—0
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 Machines—0
The Generalization Error of Dictionary Learning with Moreau Envelopes—0
Dropout Training, Data-dependent Regularization, and Generalization Bounds—0
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond—0
Chaining Mutual Information and Tightening Generalization Bounds—0
Minnorm training: an algorithm for training over-parameterized deep neural networks—0
Learning latent variable structured prediction models with Gaussian perturbations—0
VC-Dimension Based Generalization Bounds for Relational Learning—0
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression ApproachCode0
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds—0
Data-dependent PAC-Bayes priors via differential privacy—0
Stronger generalization bounds for deep nets via a compression approach—0
To understand deep learning we need to understand kernel learning—0
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