generalization bound

Koopman-based generalization bound: New aspect for full-rank weights ICLR 2024 Learning via Surrogate PAC-Bayes NeurIPS 2024 Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks JMLR 2024 Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024 Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024 Light Unbalanced Optimal Transport NeurIPS 2024 lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning ICLR 2024 Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024 MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information AAAI 2024 Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024 More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms ICML 2024 More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024 Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data JMLR 2024 Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains ICML 2024 Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024 Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024 Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space JMLR 2024 Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization ICLR 2024 Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024 Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024 Non-Vacuous Generalization Bounds for Large Language Models ICML 2024 On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains JMLR 2024 On the Generalization Ability of Unsupervised Pretraining AISTATS 2024 On the Generalization and Approximation Capacities of Neural Controlled Differential Equations ICLR 2024 On the Generalization of Equivariant Graph Neural Networks ICML 2024