generalization theory

Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025 Benign overfitting in leaky ReLU networks with moderate input dimension NeurIPS 2024 Generalizablity of Memorization Neural Network NeurIPS 2024 Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024 Robust NAS under adversarial training: benchmark, theory, and beyond ICLR 2024 Neural networks trained with SGD learn distributions of increasing complexity ICML 2023 Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023 Label Distribution Learning Machine ICML 2021 Learning and Generalization in RNNs NeurIPS 2021 What can linearized neural networks actually say about generalization? NeurIPS 2021 Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NeurIPS 2020 Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes NeurIPS 2018 A learning framework for nearest neighbor search NeurIPS 2007