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Generalization Bounds

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Showing 326–350 of 686 papers

TitleStatusHype
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic—0
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings—0
Generalization Bounds for Label Noise Stochastic Gradient Descent—0
Generalization bounds for learning under graph-dependence: A survey—0
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching—0
Generalization Bounds for Message Passing Networks on Mixture of Graphons—0
Generalization bounds for mixing processes via delayed online-to-PAC conversions—0
Generalization Bounds for Neural Belief Propagation Decoders—0
Generalization Bounds for Neural Networks via Approximate Description Length—0
Generalization bounds for nonparametric regression with β-mixing samples—0
Generalization bounds for regression and classification on adaptive covering input domains—0
Generalization Bounds for Representative Domain Adaptation—0
Generalization Bounds for Set-to-Set Matching with Negative Sampling—0
Generalization Bounds for Stochastic Gradient Descent via Localized -Covers—0
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers—0
Generalization Bounds for Uniformly Stable Algorithms—0
Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders—0
Generalization Bounds for Vicinal Risk Minimization Principle—0
Generalization Bounds for (Wasserstein) Robust Optimization—0
Generalization Bounds for Weighted Automata—0
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models—0
Generalization Bounds in the Predict-then-Optimize Framework—0
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints—0
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks—0
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems—0
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