generalization bound

Generalization Analysis of Stochastic Weight Averaging with General Sampling ICML 2024 Generalization and Learnability in Multiple Instance Regression UAI 2024 Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024 Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming NeurIPS 2024 Generalization Bound and New Algorithm for Clean-Label Backdoor Attack ICML 2024 Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis ICML 2024 Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation ICML 2024 Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024 Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024 Generalization Bounds via Conditional f-Information NeurIPS 2024 Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NeurIPS 2024 Generalization of Hamiltonian algorithms NeurIPS 2024 Generalization of Scaled Deep ResNets in the Mean-Field Regime ICLR 2024 General Stability Analysis for Zeroth-Order Optimization Algorithms ICLR 2024 Graph Classification via Reference Distribution Learning: Theory and Practice NeurIPS 2024 Grounding and Enhancing Grid-based Models for Neural Fields CVPR 2024 How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? NeurIPS 2024 How Does Unlabeled Data Provably Help Out-of-Distribution Detection? ICLR 2024 iGraphMix: Input Graph Mixup Method for Node Classification ICLR 2024 Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning ICLR 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing ICML 2024 Information-theoretic Generalization Analysis for Expected Calibration Error NeurIPS 2024 Information-theoretic generalization bounds for learning from quantum data COLT 2024 Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024