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Generalization Bounds

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TitleStatusHype
Guaranteed Classification via Regularized Similarity Learning—0
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds—0
Hedging Complexity in Generalization via a Parametric Distributionally Robust Optimization Framework—0
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives—0
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate—0
High Probability Generalization Bounds for Minimax Problems with Fast Rates—0
How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design—0
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study—0
How To Prevent the Poor Performance Clients for Personalized Federated Learning?—0
How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Human Rademacher Complexity—0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
Identifying and Estimating Causal Effects under Weak Overlap by Generative Prognostic Model—0
Improved Generalization Bound for Deep Neural Networks Using Geometric Functional Analysis—0
Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces—0
Improved Generalization Bounds for Communication Efficient Federated Learning—0
Improved Generalization Bounds for Adversarially Robust Learning—0
Improved Generalization Risk Bounds for Meta-Learning with PAC-Bayes-kl Analysis—0
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning—0
Improved Margin Generalization Bounds for Voting Classifiers—0
Improved Sample Complexities for Deep Neural Networks and Robust Classification via an All-Layer Margin—0
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm—0
Improving Equivariant Networks with Probabilistic Symmetry Breaking—0
Theoretical and Empirical Advances in Forest Pruning—0
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