3 citations · 5 across the 3 of their papers we have counts for
3 papers
stat.ML2022
Unsupervised learning of observation functions in state-space models by nonparametric moment methods
Qingci An, Yannis Kevrekidis, Fei Lu +1
We investigate the unsupervised learning of non-invertible observation functions in nonlinear state-space models. Assuming abundant data of the observation process along with the d…
stat.ML2022★ 3 cited
Nonparametric learning of kernels in nonlocal operators
Fei Lu, Qingci An, Yue Yu
Nonlocal operators with integral kernels have become a popular tool for designing solution maps between function spaces, due to their efficiency in representing long-range dependen…
stat.ML2022★ 2 cited
Data adaptive RKHS Tikhonov regularization for learning kernels in operators
Fei Lu, Quanjun Lang, Qingci An
We present DARTR: a Data Adaptive RKHS Tikhonov Regularization method for the linear inverse problem of nonparametric learning of function parameters in operators. A key ingredient…