conftrace_

random feature

89 papers

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Also known as

RF

Co-occurring keywords

kernel methods (1097) kernel approximation (100) neural tangent kernel (205) neural network (6616) feature learning (1311) random feature approximation (13) double descent (52) stochastic gradient descent (1091) kernel regression (87) ridge regression (134)

Papers

Optimized Random Features for the Neural Tangent Kernel (Student Abstract) AAAI 2025
Improved Random Features for Dot Product Kernels JMLR 2024
Fast and Adversarial Robust Kernelized SDU Learning AISTATS 2024
Random features approximation for control-affine systems L4DC 2024
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks CVPR 2024
Dimension-free deterministic equivalents and scaling laws for random feature regression NIPS 2024
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NIPS 2024
Dense Associative Memory Through the Lens of Random Features NIPS 2024
Multiple Descent in the Multiple Random Feature Model JMLR 2024
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features NIPS 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations NIPS 2024
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CORL 2023
Graph Positional Encoding via Random Feature Propagation ICML 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels ICML 2023
What can a Single Attention Layer Learn? A Study Through the Random Features Lens NIPS 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023
Tanimoto Random Features for Scalable Molecular Machine Learning NIPS 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features NIPS 2023
Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023
Taming graph kernels with random features ICML 2023
Differentiable Architecture Search With Random Features CVPR 2023
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NIPS 2023
Error Bounds for Learning with Vector-Valued Random Features NIPS 2023
Random Gegenbauer Features for Scalable Kernel Methods ICML 2022
On the Double Descent of Random Features Models Trained with SGD NIPS 2022