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Sparse Fourier Transform by traversing Cooley-Tukey FFT computation graphs., , , , , and . CoRR, (2021)Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 23933-23964. PMLR, (2022)Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10324-10333. PMLR, (2020)Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees., , , , , and . CoRR, (2018)A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms., , , , , and . CoRR, (2018)Oblivious Sketching of High-Degree Polynomial Kernels., , , , and . CoRR, (2019)Learning with Neural Tangent Kernels in Near Input Sparsity Time.. CoRR, (2021)Efficiently Learning Fourier Sparse Set Functions., , , and . NeurIPS, page 15094-15103. (2019)Near Optimal Reconstruction of Spherical Harmonic Expansions., , and . CoRR, (2022)Scaling up Kernel Ridge Regression via Locality Sensitive Hashing., , , , and . CoRR, (2020)