48 citations · 153 across the 26 of their papers we have counts for
5 papers · 1 filter
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…
Non-reversible Parallel Tempering for Deep Posterior Approximation
Wei Deng, Qian Zhang, Qi Feng +2
Parallel tempering (PT), also known as replica exchange, is the go-to workhorse for simulations of multi-modal distributions. The key to the success of PT is to adopt efficient swa…
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…
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…
A Kernel-Expanded Stochastic Neural Network
Yan Sun, Faming Liang
The deep neural network suffers from many fundamental issues in machine learning. For example, it often gets trapped into a local minimum in training, and its prediction uncertaint…