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Generalization Bounds

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TitleStatusHype
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
Regularized Gradient Boosting—0
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money—0
Reinterpreting causal discovery as the task of predicting unobserved joint statistics—0
Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions—0
Relative Deviation Margin Bounds—0
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression—0
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics—0
Reward Generalization in RLHF: A Topological Perspective—0
Reweighted Mixup for Subpopulation Shift—0
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