neural tangent kernel

An NTK Theory Approach to UCB Estimation in Semi-gradient TD Learning UAI 2026 Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026 Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization UAI 2026 Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization AAAI 2026 How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026 Neural Tangent Kernels Under Stochastic Data Augmentation AAAI 2026 NTK-Guided Implicit Neural Teaching CVPR 2026 On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference UAI 2026 Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width JMLR 2026 Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks UAI 2025 Determinant Estimation under Memory Constraints and Neural Scaling Laws ICML 2025 Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025 Divergence of Neural Tangent Kernel in Classification Problems ICLR 2025 Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel ICML 2025 Exact Certification of (Graph) Neural Networks Against Label Poisoning ICLR 2025 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025 Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic ICLR 2025 From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks ICLR 2025 Global Convergence in Neural ODEs: Impact of Activation Functions ICLR 2025 How Feature Learning Can Improve Neural Scaling Laws ICLR 2025 How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings ICLR 2025 Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations ICML 2025 Infinite Width Limits of Self Supervised Neural Networks AISTATS 2025 Learning dynamics in linear recurrent neural networks ICML 2025 Learning Input Encodings for Kernel-Optimal Implicit Neural Representations ICML 2025