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Generalization Bounds

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TitleStatusHype
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss EmbeddingsCode0
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and SpecificityCode0
A path-norm toolkit for modern networks: consequences, promises and challengesCode0
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural NetworksCode0
A PAC-Bayesian Framework for Optimal Control with Stability GuaranteesCode0
Instance based Generalization in Reinforcement LearningCode0
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised LearningCode0
Maximum Weighted Loss DiscrepancyCode0
Integral Probability Metrics PAC-Bayes BoundsCode0
A Surprising Linear Relationship Predicts Test Performance in Deep NetworksCode0
Learnability of Competitive Threshold ModelsCode0
More Flexible PAC-Bayesian Meta-Learning by Learning Learning AlgorithmsCode0
Learning the optimal Tikhonov regularizer for inverse problemsCode0
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression ApproachCode0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-SmoothingCode0
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer MarginCode0
Hausdorff Dimension, Heavy Tails, and Generalization in Neural NetworksCode0
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant LossesCode0
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail InversionCode0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Towards Size-Independent Generalization Bounds for Deep Operator NetsCode0
Generalization Bounds via Conditional f-InformationCode0
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck EquationCode0
Generalization Bound and New Algorithm for Clean-Label Backdoor AttackCode0
Adapting Neural Architectures Between DomainsCode0
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisCode0
Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side KnowledgeCode0
Generalization Performance of Hypergraph Neural NetworksCode0
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityCode0
Generalization bounds for graph convolutional neural networks via Rademacher complexityCode0
A General Framework for the Practical Disintegration of PAC-Bayesian BoundsCode0
Generalization Bounds For Meta-Learning: An Information-Theoretic AnalysisCode0
Estimating the Success of Unsupervised Image to Image TranslationCode0
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient DescentCode0
Achieving Distributive Justice in Federated Learning via Uncertainty QuantificationCode0
Generalization Through The Lens Of Leave-One-Out ErrorCode0
GraphMix: Improved Training of GNNs for Semi-Supervised LearningCode0
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional RepresentationsCode0
Relative Flatness and GeneralizationCode0
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic LossCode0
Comparing Comparators in Generalization BoundsCode0
A PAC-Bayes Analysis of Adversarial RobustnessCode0
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient DescentCode0
Information-theoretic generalization bounds for black-box learning algorithmsCode0
Graph Representational Learning: When Does More Expressivity Hurt Generalization?Code0
Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance LearningCode0
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical PerspectiveCode0
An adaptive nearest neighbor rule for classificationCode0
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