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Generalization Bounds

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Showing 251–275 of 686 papers

TitleStatusHype
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs—0
Generalization Guarantee of SGD for Pairwise Learning—0
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks—0
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior—0
A unified recipe for deriving (time-uniform) PAC-Bayes bounds—0
A Markovian Model for Learning-to-Optimize—0
Dimension Free Generalization Bounds for Non Linear Metric Learning—0
A Unified Model and Dimension for Interactive Estimation—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
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes—0
A unified framework for learning with nonlinear model classes from arbitrary linear samples—0
Generalization Through Growth: Hidden Dynamics Controls Depth Dependence—0
Guaranteed Classification via Regularized Similarity Learning—0
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds—0
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers—0
Diffusion Random Feature Model—0
A Margin-based Multiclass Generalization Bound via Geometric Complexity—0
Generalizing across Temporal Domains with Koopman Operators—0
Global Capacity Measures for Deep ReLU Networks via Path Sampling—0
Generalization of Scaled Deep ResNets in the Mean-Field Regime—0
Graph-based Generalization Bounds for Learning Binary Relations—0
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization—0
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs—0
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks—0
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