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Generalization Bounds

Papers

Showing 176200 of 686 papers

TitleStatusHype
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks0
Classification with Deep Neural Networks and Logistic Loss0
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients0
Federated Variational Inference: Towards Improved Personalization and Generalization0
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent0
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random0
Fine-grained Generalization Analysis of Vector-valued Learning0
Fine-grained Generalization Analysis of Structured Output Prediction0
A Mechanism of Implicit Regularization in Deep Learning0
Formal limitations of sample-wise information-theoretic generalization bounds0
Foundations of Coupled Nonlinear Dimensionality Reduction0
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms0
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD0
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization0
Functions with average smoothness: structure, algorithms, and learning0
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability0
Generalization Analysis for Contrastive Representation Learning0
Generalization Analysis for Contrastive Representation Learning under Non-IID Settings0
Generalization Analysis for Deep Contrastive Representation Learning0
Generalization and Representational Limits of Graph Neural Networks0
Compute-Optimal LLMs Provably Generalize Better With Scale0
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage0
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss0
A Functional Perspective on Learning Symmetric Functions with Neural Networks0
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