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cs.LG2022
A Fourier Approach to Mixture Learning
Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat +2
We revisit the problem of learning mixtures of spherical Gaussians. Given samples from mixture , the goal is to estimate the means $…
cs.LG2022★ 2 cited
Chefs' Random Tables: Non-Trigonometric Random Features
Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey +3
We introduce chefs' random tables (CRTs), a new class of non-trigonometric random features (RFs) to approximate Gaussian and softmax kernels. CRTs are an alternative to standard ra…