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Generalization Bounds

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Showing 201–250 of 686 papers

TitleStatusHype
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
Generalization bounds for deep learning—0
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks—0
Adaptive Metric Dimensionality Reduction—0
Generalization Bounds for Data-Driven Numerical Linear Algebra—0
Generalization Bounds for Convolutional Neural Networks—0
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality—0
Generalization Bounds for Adversarial Contrastive Learning—0
Confusion-Based Online Learning and a Passive-Aggressive Scheme—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 and Stopping Rules for Learning with Self-Selected Data—0
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects—0
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks—0
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss—0
Generalization Bounds for Label Noise Stochastic Gradient Descent—0
Generalization bounds for learning under graph-dependence: A survey—0
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds—0
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching—0
Generalization Bounds for Message Passing Networks on Mixture of Graphons—0
A PAC-Bayesian Generalization Bound for Equivariant Networks—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 and algorithms for estimating conditional average treatment effect of dosage—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
Compute-Optimal LLMs Provably Generalize Better With Scale—0
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes—0
Generalization and Representational Limits of Graph Neural Networks—0
Generalization Bounds via Convex Analysis—0
Generalization Analysis for Deep Contrastive Representation Learning—0
Generalization Bounds via Information Density and Conditional Information Density—0
Compression Implies Generalization—0
Generalization Analysis for Contrastive Representation Learning under Non-IID Settings—0
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