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Generalization Bounds

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TitleStatusHype
Formal limitations of sample-wise information-theoretic generalization bounds—0
Foundations of Coupled Nonlinear Dimensionality Reduction—0
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms—0
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD—0
Functions with average smoothness: structure, algorithms, and learning—0
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability—0
Generalization Analysis for Contrastive Representation Learning—0
Generalization Analysis for Contrastive Representation Learning under Non-IID Settings—0
Generalization Analysis for Deep Contrastive Representation Learning—0
Generalization and Representational Limits of Graph Neural Networks—0
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage—0
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss—0
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks—0
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects—0
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data—0
Generalization Bounds for Adversarial Contrastive Learning—0
Generalization Bounds for Convolutional Neural Networks—0
Generalization Bounds for Data-Driven Numerical Linear Algebra—0
Generalization bounds for deep learning—0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy—0
Generalization Bounds for Dependent Data using Online-to-Batch Conversion—0
Generalization Bounds for Domain Adaptation—0
Generalization Bounds for Equivariant Networks on Markov Data—0
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior—0
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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