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Generalization Bounds

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TitleStatusHype
PAC-Bayes Compression Bounds So Tight That They Can Explain GeneralizationCode1
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States—0
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction—0
Instance-Dependent Generalization Bounds via Optimal Transport—0
PAC-Bayesian Offline Contextual Bandits With Guarantees—0
A PAC-Bayesian Generalization Bound for Equivariant Networks—0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport—0
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness—0
Task-Free Continual Learning via Online Discrepancy Distance Learning—0
On the Importance of Gradient Norm in PAC-Bayesian Bounds—0
A New Family of Generalization Bounds Using Samplewise Evaluated CMI—0
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions—0
Stability Analysis and Generalization Bounds of Adversarial TrainingCode0
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel—0
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityCode0
Approximate Description Length, Covering Numbers, and VC Dimension—0
Generalization Bounds for Stochastic Gradient Descent via Localized -Covers—0
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware MixupCode1
Stability and Generalization for Markov Chain Stochastic Gradient Methods—0
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study—0
On Generalization of Decentralized Learning with Separable Data—0
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy—0
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs—0
Generalization In Multi-Objective Machine Learning—0
A Novel Plug-and-Play Approach for Adversarially Robust Generalization—0
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