random fourier feature

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022 Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022 Gauss-Legendre Features for Gaussian Process Regression JMLR 2022 Nonparametric adaptive control and prediction: theory and randomized algorithms JMLR 2022 Sharp Analysis of Random Fourier Features in Classification AAAI 2022 SignRFF: Sign Random Fourier Features NeurIPS 2022 TRF: Learning Kernels with Tuned Random Features AAAI 2022 Understanding Hyperdimensional Computing for Parallel Single-Pass Learning NeurIPS 2022 Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021 Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NeurIPS 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Quantization Algorithms for Random Fourier Features ICML 2021 Structure-Aware Random Fourier Kernel for Graphs NeurIPS 2021 Towards a Unified Analysis of Random Fourier Features JMLR 2021 A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NeurIPS 2020 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Fourier Sparse Leverage Scores and Approximate Kernel Learning NeurIPS 2020 Orlicz Random Fourier Features JMLR 2020 Random Fourier Features via Fast Surrogate Leverage Weighted Sampling AAAI 2020 Scaling up Kernel Ridge Regression via Locality Sensitive Hashing AISTATS 2020 SnapBoost: A Heterogeneous Boosting Machine NeurIPS 2020 Black Box Quantiles for Kernel Learning AISTATS 2019 Implicit Kernel Learning AISTATS 2019 Learning Adaptive Random Features AAAI 2019 Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation AISTATS 2019