generalization guarantee

Margin in Abstract Spaces COLT 2026 Provably Data-Driven Projection Method for Quadratic Programming AAAI 2026 Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025 How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees ICML 2025 Learning Configurations for Data-Driven Multi-Objective Optimization ICML 2025 Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025 Loss Gradient Gaussian Width based Generalization and Optimization Guarantees AISTATS 2025 Metric Learning in an RKHS UAI 2025 Protein Fitness Landscape: Spectral Graph Theory Perspective AISTATS 2025 When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers ICLR 2025 Public-data Assisted Private Stochastic Optimization: Power and Limitations NeurIPS 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024 Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models NeurIPS 2023 Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption IJCAI 2023 How Sharpness-Aware Minimization Minimizes Sharpness? ICLR 2023 Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing COLT 2023 Minimum Description Length and Generalization Guarantees for Representation Learning NeurIPS 2023 Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces ICML 2023 On Proper Learnability between Average- and Worst-case Robustness NeurIPS 2023 On the Generalization of Multi-modal Contrastive Learning ICML 2023 PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023 Principled Approaches for Private Adaptation from a Public Source AISTATS 2023 Rethinking Label Refurbishment: Model Robustness under Label Noise AAAI 2023 Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data UAI 2023