generalization bound

Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses UAI 2026 A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026 A Novel Data-Dependent Learning Paradigm for Large Hypothesis Classes ALT 2026 Bound to Disagree: Generalization Bounds via Certifiable Surrogates UAI 2026 DS-Compatible Log-Linear Reliability with KL-Prox EM: Monotone Ascent, Identifiability, and Generalization ALT 2026 Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026 Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite UAI 2026 Generalizing Analogical Inference from Boolean to Continuous Domains AAAI 2026 Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification UAI 2026 Learning Decision-Sufficient Representations for Linear Optimization COLT 2026 Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning UAI 2026 Multi-Label Classification with Incremental and Decremental Features AAAI 2026 On-Average Stability of Multipass Preconditioned SGD and Effective Dimension COLT 2026 On Pairwise Quantile Regression - Statistical Guarantees and Applications UAI 2026 Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width JMLR 2026 PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses ALT 2026 Rademacher Complexity for Distributionally Robust Learning AAAI 2026 Second-Order Bounds for $[0,1]$-Valued Regression via Betting Loss COLT 2026 Statistical Learning from Attribution Sets COLT 2026 Stochastic Gradient Methods: Bias, Stability and Generalization JMLR 2026 Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport (Abstract Reprint) AAAI 2026 Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026 A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks AISTATS 2025 Adversarial Robust Generalization of Graph Neural Networks ICML 2025 Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis IJCAI 2025