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Generalization Bounds

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TitleStatusHype
With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization—0
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes—0
Learning distinct features helps, provably—0
Generalization Bounds for Quantum Learning via Rényi Divergences—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning—0
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks—0
Active Few-Shot Fine-Tuning—0
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank—0
Adaptive Data Analysis for Growing Data—0
Adaptive Metric Dimensionality Reduction—0
Adversarial Multiple Source Domain Adaptation—0
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds—0
A Functional Perspective on Learning Symmetric Functions with Neural Networks—0
A Generalization Bound for Nearly-Linear Networks—0
A Generalization Bound for Online Variational Inference—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks—0
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction—0
Aggregation Weighting of Federated Learning via Generalization Bound Estimation—0
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks—0
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions—0
Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise—0
Algorithms for Learning Kernels Based on Centered Alignment—0
A Limitation of the PAC-Bayes Framework—0
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