8 citations · 13 across the 3 of their papers we have counts for
3 papers
stat.ME2022
A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data
Siqi Liang, Faming Liang
Graphical models have long been studied in statistics as a tool for inferring conditional independence relationships among a large set of random variables. The most existing works…
cs.LG2022★ 8 cited
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
Siqi Liang, Yan Sun, Faming Liang
Sufficient dimension reduction is a powerful tool to extract core information hidden in the high-dimensional data and has potentially many important applications in machine learnin…
stat.ML2022★ 5 cited
Interacting Contour Stochastic Gradient Langevin Dynamics
Wei Deng, Siqi Liang, Botao Hao +2
We propose an interacting contour stochastic gradient Langevin dynamics (ICSGLD) sampler, an embarrassingly parallel multiple-chain contour stochastic gradient Langevin dynamics (C…