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Generalization Bounds

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TitleStatusHype
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach—0
Explaining generalization in deep learning: progress and fundamental limits—0
Detached Error Feedback for Distributed SGD with Random Sparsification—0
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study—0
Failures of model-dependent generalization bounds for least-norm interpolation—0
Fairness-aware Federated Learning—0
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective—0
Fair Off-Policy Learning from Observational Data—0
Fantastic Generalization Measures are Nowhere to be Found—0
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data—0
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes—0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks—0
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent—0
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random—0
Fine-grained Generalization Analysis of Vector-valued Learning—0
Fine-grained Generalization Analysis of Structured Output Prediction—0
Formal limitations of sample-wise information-theoretic generalization bounds—0
Foundations of Coupled Nonlinear Dimensionality Reduction—0
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms—0
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD—0
Functions with average smoothness: structure, algorithms, and learning—0
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability—0
Generalization Analysis for Contrastive Representation Learning—0
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