generalization bound

On the Generalization of Stochastic Gradient Descent with Momentum JMLR 2024 On the Limitations of Fractal Dimension as a Measure of Generalization NeurIPS 2024 On the Stability and Generalization of Meta-Learning NeurIPS 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024 Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds ICLR 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024 Risk Bounds of Accelerated SGD for Overparameterized Linear Regression ICLR 2024 Sequence Length Independent Norm-Based Generalization Bounds for Transformers AISTATS 2024 Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024 Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning NeurIPS 2024 Slicing Mutual Information Generalization Bounds for Neural Networks ICML 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation NeurIPS 2024 Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness NeurIPS 2024 Stability and L2-penalty in Model Averaging JMLR 2024 Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NeurIPS 2024 Test-Time Dynamic Image Fusion NeurIPS 2024 The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024 Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NeurIPS 2024 The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NeurIPS 2024 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance JMLR 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models AISTATS 2024 Towards Robust Out-of-Distribution Generalization Bounds via Sharpness ICLR 2024