generalization bound

Improving Generalization in Meta-Learning via Meta-Gradient Augmentation IJCAI 2025 Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy ICCV 2025 Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems ICML 2025 One-step Label Shift Adaptation via Robust Weight Estimation IJCAI 2025 On Generalization Bounds for Neural Networks with Low Rank Layers ALT 2025 Online-to-PAC generalization bounds under graph-mixing dependencies AISTATS 2025 On the Generalization of Feature Incremental Learning IJCAI 2025 Pick-to-Learn and Self-Certified Gaussian Process Approximations AISTATS 2025 Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization ICLR 2025 Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis JMLR 2025 Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks ICML 2025 Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025 Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses AISTATS 2025 Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization AAAI 2025 Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods ICLR 2025 Sharpness-Aware Black-Box Optimization ICLR 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025 Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025 Stable learning using spiking neural networks equipped with affine encoders and decoders JMLR 2025 TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification CVPR 2025 Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport ICML 2025 Tight and Fast Bounds for Multi-Label Learning ICML 2025 Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization ICLR 2025 Towards Bridging Generalization and Expressivity of Graph Neural Networks ICLR 2025 Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification ICLR 2025