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Generalization Bounds

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TitleStatusHype
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks—0
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors—0
How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View—0
Estimating the Success of Unsupervised Image to Image TranslationCode0
On the Discrimination-Generalization Tradeoff in GANs—0
Sparsity, variance and curvature in multi-armed bandits—0
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data—0
Regularization via Mass TransportationCode0
Stability and Generalization of Learning Algorithms that Converge to Global Optima—0
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient DescentCode0
Model-Powered Conditional Independence TestCode0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
A Nonlinear Kernel Support Matrix Machine for Matrix Learning—0
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints—0
PAC-Bayes and Domain Adaptation—0
Data-dependent Generalization Bounds for Multi-class Classification—0
An a Priori Exponential Tail Bound for k-Folds Cross-Validation—0
Optimal Auctions through Deep Learning: Advances in Differentiable EconomicsCode1
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional RepresentationsCode0
Nuclear Discrepancy for Active Learning—0
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions—0
Learning from partial correction—0
Minimax Statistical Learning with Wasserstein Distances—0
The Landscape of Deep Learning Algorithms—0
Mass Volume Curves and Anomaly Ranking—0
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