random feature

Hybrid Random Features ICLR 2022 Learning sparse features can lead to overfitting in neural networks NeurIPS 2022 On the Double Descent of Random Features Models Trained with SGD NeurIPS 2022 Personalized Online Federated Learning with Multiple Kernels NeurIPS 2022 Random Gegenbauer Features for Scalable Kernel Methods ICML 2022 Random matrices in service of ML footprint: ternary random features with no performance loss ICLR 2022 Ridgeless Regression with Random Features IJCAI 2022 Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA JMLR 2022 Universality of empirical risk minimization COLT 2022 Analysis of one-hidden-layer neural networks via the resolvent method NeurIPS 2021 A Temporal Kernel Approach for Deep Learning with Continuous-time Information ICLR 2021 Bayesian Nonparametric Space Partitions: A Survey IJCAI 2021 Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NeurIPS 2021 DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms ICLR 2021 Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features AISTATS 2021 Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures AISTATS 2021 Kernel Continual Learning ICML 2021 Latent variable modeling with random features AISTATS 2021 Learning with invariances in random features and kernel models COLT 2021 Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks CVPR 2021 One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements AISTATS 2021 Rethinking Attention with Performers ICLR 2021 Scaling Neural Tangent Kernels via Sketching and Random Features NeurIPS 2021 Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs ICLR 2021