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Generalization Bounds

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TitleStatusHype
A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis—0
Algorithms for Learning Kernels Based on Centered Alignment—0
Data-dependent PAC-Bayes priors via differential privacy—0
Data-dependent Generalization Bounds via Variable-Size Compressibility—0
A Primal-Dual link between GANs and Autoencoders—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
Data-dependent Generalization Bounds for Multi-class Classification—0
Approximate Description Length, Covering Numbers, and VC Dimension—0
Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise—0
Adversarial Multiple Source Domain Adaptation—0
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks—0
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds—0
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting—0
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers—0
Co-regularization Based Semi-supervised Domain Adaptation—0
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions—0
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data—0
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions—0
A PAC-Bayesian Tutorial with A Dropout Bound—0
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks—0
Adaptive Metric Dimensionality Reduction—0
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality—0
Confusion-Based Online Learning and a Passive-Aggressive Scheme—0
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss—0
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds—0
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