rademacher complexity

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks JMLR 2026 DS-Compatible Log-Linear Reliability with KL-Prox EM: Monotone Ascent, Identifiability, and Generalization ALT 2026 Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width JMLR 2026 Rademacher Complexity for Distributionally Robust Learning AAAI 2026 Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025 Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power ICLR 2025 Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation ICML 2025 Is Transductive Learning Equivalent to PAC Learning? ALT 2025 LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation ICML 2025 Loss Gradient Gaussian Width based Generalization and Optimization Guarantees AISTATS 2025 On the Generalization Ability of Next-Token-Prediction Pretraining ICML 2025 Reward Modeling with Ordinal Feedback: Wisdom of the Crowd ICML 2025 Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification ICLR 2025 Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples IJCAI 2025 Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees UAI 2025 Boosting Adversarial Training via Fisher-Rao Norm-based Regularization CVPR 2024 Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization COLT 2024 Concentration Inequalities for General Functions of Heavy-Tailed Random Variables ICML 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024 Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NeurIPS 2024 Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024 On the Intrinsic Structures of Spiking Neural Networks JMLR 2024 Rademacher complexity of neural ODEs via Chen-Fliess series L4DC 2024 Sequence Length Independent Norm-Based Generalization Bounds for Transformers AISTATS 2024 The sample complexity of ERMs in stochastic convex optimization AISTATS 2024