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Generalization Bounds

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TitleStatusHype
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
Measuring Generalization with Optimal TransportCode1
Fine-grained Generalization Analysis of Structured Output Prediction—0
Towards optimally abstaining from prediction with OOD test examples—0
Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds—0
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting—0
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD—0
Identifying and Estimating Causal Effects under Weak Overlap by Generative Prognostic Model—0
Stability and Generalization of Stochastic Gradient Methods for Minimax ProblemsCode0
Information Complexity and Generalization Bounds—0
RATT: Leveraging Unlabeled Data to Guarantee GeneralizationCode0
Fine-grained Generalization Analysis of Vector-valued Learning—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-BoundCode0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
Generalization bounds via distillation—0
Generalization of GANs and overparameterized models under Lipschitz continuity—0
Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)—0
Mean-field methods and algorithmic perspectives for high-dimensional machine learning—0
PAC-Bayes and Information Complexity—0
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image AnalysisCode1
Generalization Bounds for Sparse Random Feature ExpansionsCode0
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks—0
Consistent Sparse Deep Learning: Theory and ComputationCode0
A Theory of Label Propagation for Subpopulation Shift—0
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