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Generalization Bounds

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TitleStatusHype
Generalization Analysis for Contrastive Representation Learning—0
Generalization Bounds for Adversarial Contrastive Learning—0
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning—0
PAC-Bayesian Generalization Bounds for Adversarial Generative ModelsCode0
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization GuaranteesCode1
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds—0
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph DiffusionCode1
A unified recipe for deriving (time-uniform) PAC-Bayes bounds—0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Tighter Information-Theoretic Generalization Bounds from SupersamplesCode0
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and SpecificityCode0
Norm-based Generalization Bounds for Compositionally Sparse Neural Networks—0
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions—0
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equationCode1
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation—0
Transformers as Algorithms: Generalization and Stability in In-context LearningCode0
How To Prevent the Poor Performance Clients for Personalized Federated Learning?—0
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels—0
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization—0
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers—0
PAC-Bayesian Treatment Allocation Under Budget Constraints—0
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings—0
Non-IID Transfer Learning on GraphsCode1
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization—0
Hedging Complexity in Generalization via a Parametric Distributionally Robust Optimization Framework—0
PAC-Bayes Compression Bounds So Tight That They Can Explain GeneralizationCode1
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States—0
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction—0
Instance-Dependent Generalization Bounds via Optimal Transport—0
PAC-Bayesian Offline Contextual Bandits With Guarantees—0
A PAC-Bayesian Generalization Bound for Equivariant Networks—0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport—0
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness—0
Task-Free Continual Learning via Online Discrepancy Distance Learning—0
On the Importance of Gradient Norm in PAC-Bayesian Bounds—0
A New Family of Generalization Bounds Using Samplewise Evaluated CMI—0
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions—0
Stability Analysis and Generalization Bounds of Adversarial TrainingCode0
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel—0
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityCode0
Approximate Description Length, Covering Numbers, and VC Dimension—0
Generalization Bounds for Stochastic Gradient Descent via Localized -Covers—0
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware MixupCode1
Stability and Generalization for Markov Chain Stochastic Gradient Methods—0
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study—0
On Generalization of Decentralized Learning with Separable Data—0
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy—0
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs—0
Generalization In Multi-Objective Machine Learning—0
A Novel Plug-and-Play Approach for Adversarially Robust Generalization—0
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