random feature approximation

Graph-Aided Online Multi-Kernel Learning JMLR 2023 Taming graph kernels with random features ICML 2023 Efficient Dataset Distillation using Random Feature Approximation NeurIPS 2022 Personalized Online Federated Learning with Multiple Kernels NeurIPS 2022 COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021 Online Multi-Kernel Learning with Graph-Structured Feedback ICML 2020 Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics JMLR 2019 Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments AISTATS 2018 Large-Scale Data-Dependent Kernel Approximation AISTATS 2017 Large-scale Online Kernel Learning with Random Feature Reparameterization IJCAI 2017 Extended and Unscented Kitchen Sinks ICML 2016 Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NeurIPS 2015 Random Features for Large-Scale Kernel Machines NeurIPS 2007