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Generalization Bounds

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TitleStatusHype
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain AdaptationCode0
Learnability of Competitive Threshold ModelsCode0
A path-norm toolkit for modern networks: consequences, promises and challengesCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
A PAC-Bayesian Framework for Optimal Control with Stability GuaranteesCode0
Integral Probability Metrics PAC-Bayes BoundsCode0
Learning Where to Learn: Training Distribution Selection for Provable OOD PerformanceCode0
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresCode0
Graph Representational Learning: When Does More Expressivity Hurt Generalization?Code0
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent EstimatesCode0
Minimum Description Length and Generalization Guarantees for Representation LearningCode0
Model-Powered Conditional Independence TestCode0
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient DescentCode0
Information-theoretic generalization bounds for black-box learning algorithmsCode0
Instance based Generalization in Reinforcement LearningCode0
Learning Overlapping Representations for the Estimation of Individualized Treatment EffectsCode0
Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-SmoothingCode0
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic LossCode0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional RepresentationsCode0
Generalization Through The Lens Of Leave-One-Out ErrorCode0
Hausdorff Dimension, Heavy Tails, and Generalization in Neural NetworksCode0
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer MarginCode0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Towards Size-Independent Generalization Bounds for Deep Operator NetsCode0
Generalization Bounds For Meta-Learning: An Information-Theoretic AnalysisCode0
Generalization bounds for graph convolutional neural networks via Rademacher complexityCode0
Generalization Bounds for Sparse Random Feature ExpansionsCode0
Adapting Neural Architectures Between DomainsCode0
Generalization Bound and New Algorithm for Clean-Label Backdoor AttackCode0
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck EquationCode0
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisCode0
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail InversionCode0
Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side KnowledgeCode0
Generalization Bounds via Conditional f-InformationCode0
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient DescentCode0
Achieving Distributive Justice in Federated Learning via Uncertainty QuantificationCode0
Generalization Performance of Hypergraph Neural NetworksCode0
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant LossesCode0
GraphMix: Improved Training of GNNs for Semi-Supervised LearningCode0
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
Estimating the Success of Unsupervised Image to Image TranslationCode0
Comparing Comparators in Generalization BoundsCode0
A PAC-Bayes Analysis of Adversarial RobustnessCode0
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityCode0
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization BoundsCode0
A General Framework for the Practical Disintegration of PAC-Bayesian BoundsCode0
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised LearningCode0
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training DataCode0
An Algorithmic Framework for Fairness ElicitationCode0
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