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Generalization Bounds

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TitleStatusHype
Confusion-Based Online Learning and a Passive-Aggressive Scheme—0
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality—0
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks—0
Adaptive Metric Dimensionality Reduction—0
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions—0
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data—0
Co-regularization Based Semi-supervised Domain Adaptation—0
A New Perspective on Machine Learning: How to do Perfect Supervised Learning—0
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting—0
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds—0
Data-dependent Generalization Bounds for Multi-class Classification—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
Data-dependent Generalization Bounds via Variable-Size Compressibility—0
Data-dependent PAC-Bayes priors via differential privacy—0
Data-Dependent Stability Analysis of Adversarial Training—0
Data-Dependent Stability of Stochastic Gradient Descent—0
Data-Driven Neural Certificate Synthesis—0
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming—0
A Generalization Bound for Online Variational Inference—0
On Generalization of Decentralized Learning with Separable Data—0
Decoupling Gating from Linearity—0
Deep Distributed Optimization for Large-Scale Quadratic Programming—0
Dimension Free Generalization Bounds for Non Linear Metric Learning—0
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage—0
Distribution-dependent concentration inequalities for tighter generalization bounds—0
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