Generalization

Data-dependent Algorithmic Robustness Analysis of Pairwise Learning ACML 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Domain Adaptation and Entanglement: an Optimal Transport Perspective AISTATS 2025 FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing CVPR 2025 Generalization and Distributed Learning of GFlowNets ICLR 2025 Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks ICLR 2025 Generalization Bounds for Dependent Data using Online-to-Batch Conversion. AISTATS 2025 Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization AISTATS 2025 Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025 GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation ACL 2025 Geometric Collaborative Filtering with Convergence AISTATS 2025 Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift AISTATS 2025 Horizon Generalization in Reinforcement Learning ICLR 2025 Infinite Width Limits of Self Supervised Neural Networks AISTATS 2025 Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025 On Generalization Across Environments In Multi-Objective Reinforcement Learning ICLR 2025 Online-to-PAC generalization bounds under graph-mixing dependencies AISTATS 2025 Pick-to-Learn and Self-Certified Gaussian Process Approximations AISTATS 2025 Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons AISTATS 2025 Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses AISTATS 2025 Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025 Systematic Generalization in Language Models Scales with Information Entropy ACL 2025 Testing Generalizability in Causal Inference UAI 2025 The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited ICLR 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data AISTATS 2025