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Generalization Bounds

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TitleStatusHype
PAC-Bayesian Neural Network Bounds—0
PAC-Bayesian Offline Contextual Bandits With Guarantees—0
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization—0
PAC-Bayesian Treatment Allocation Under Budget Constraints—0
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes—0
Partial differential equation regularization for supervised machine learning—0
Light Unbalanced Optimal Transport—0
Passive Learning with Target Risk—0
A rescaling-invariant Lipschitz bound based on path-metrics for modern ReLU network parameterizations—0
Perceptron-like Algorithms and Generalization Bounds for Learning to Rank—0
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach—0
PLUME: Polyhedral Learning Using Mixture of Experts—0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks—0
Predictive Value Generalization Bounds—0
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning—0
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds—0
Provable Generalization of Overparameterized Meta-learning Trained with SGD—0
Provable Pathways: Learning Multiple Tasks over Multiple Paths—0
Rademacher Complexity Bounds for Non-I.I.D. Processes—0
Rademacher Generalization Bounds for Classifier Chains—0
Random Maxout Features—0
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms—0
Higher-Order Transformer Derivative Estimates for Explicit Pathwise Learning Guarantees—0
Recovery and Generalization in Over-Realized Dictionary Learning—0
Gradient Descent can Learn Less Over-parameterized Two-layer Neural Networks on Classification Problems—0
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