97 citations · 329 across the 13 of their papers we have counts for
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stat.CO2026
Signed random Fourier features for fast density estimation with indefinite kernels
Xie Wang, Nicolas Langrené, Wen Chen
Kernel density estimation (KDE) is one of the most fundamental statistical estimators of density functions. Its direct implementation on a dataset of points incurs an $\mathcal…
stat.CO2017★ 52 cited
Fast and stable multivariate kernel density estimation by fast sum updating
Nicolas Langrené, Xavier Warin
Kernel density estimation and kernel regression are powerful but computationally expensive techniques: a direct evaluation of kernel density estimates at evaluation points give…