random feature

Random features approximation for control-affine systems L4DC 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations NeurIPS 2024 Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features ICML 2024 Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features ICML 2024 Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels ICML 2023 Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NeurIPS 2023 Differentiable Architecture Search With Random Features CVPR 2023 Efficient Attention via Control Variates ICLR 2023 Error Bounds for Learning with Vector-Valued Random Features NeurIPS 2023 Graph Positional Encoding via Random Feature Propagation ICML 2023 Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CoRL 2023 Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023 Random Laplacian Features for Learning with Hyperbolic Space ICLR 2023 Self-Supervised Reinforcement Learning that Transfers using Random Features NeurIPS 2023 Taming graph kernels with random features ICML 2023 Tanimoto Random Features for Scalable Molecular Machine Learning NeurIPS 2023 Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023 What can a Single Attention Layer Learn? A Study Through the Random Features Lens NeurIPS 2023 Anisotropic Random Feature Regression in High Dimensions ICLR 2022 Chefs' Random Tables: Non-Trigonometric Random Features NeurIPS 2022 Efficient learning of nonlinear prediction models with time-series privileged information NeurIPS 2022 Entropy Regularized Optimal Transport Independence Criterion AISTATS 2022 Feature learning and random features in standard finite-width convolutional neural networks: An empirical study UAI 2022 Hermite Polynomial Features for Private Data Generation ICML 2022 High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation NeurIPS 2022