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Generalization Bounds

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TitleStatusHype
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects—0
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects—0
Relative Flatness and GeneralizationCode0
Risk Bounds for Low Cost Bipartite Ranking—0
Regularized Gradient Boosting—0
Transfer Learning via Minimizing the Performance Gap Between DomainsCode0
A Primal-Dual link between GANs and Autoencoders—0
Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance LearningCode0
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering—0
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent EstimatesCode0
Learning-Based Low-Rank Approximations—0
On Generalization Bounds of a Family of Recurrent Neural Networks—0
Diametrical Risk Minimization: Theory and ComputationsCode0
Global Capacity Measures for Deep ReLU Networks via Path Sampling—0
Sharper bounds for uniformly stable algorithms—0
Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces—0
Generalization Bounds for Neural Networks via Approximate Description Length—0
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer MarginCode0
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks—0
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics—0
A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis—0
Generalization Bounds for Convolutional Neural Networks—0
Partial differential equation regularization for supervised machine learning—0
Margin-Based Generalization Lower Bounds for Boosted Classifiers—0
Wide Neural Networks are Interpolating Kernel Methods: Impact of Initialization on Generalization—0
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