neural tangent kernel

Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning CVPR 2024 Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024 Globally Convergent Variational Inference NeurIPS 2024 Grokking as the transition from lazy to rich training dynamics ICLR 2024 Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions ICML 2024 Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate ICLR 2024 How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks NeurIPS 2024 How Spurious Features are Memorized: Precise Analysis for Random and NTK Features ICML 2024 Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024 Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NeurIPS 2024 Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding ICML 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 LoRA Training in the NTK Regime has No Spurious Local Minima ICML 2024 lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning ICLR 2024 Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024 MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search NeurIPS 2024 Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization ICLR 2024 Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024 Neural Tangent Kernels for Axis-Aligned Tree Ensembles ICML 2024 Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks ICML 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains JMLR 2024 On the Foundations of Shortcut Learning ICLR 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NeurIPS 2024 Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024