283 citations · 933 across the 29 of their papers we have counts for
29 papers
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion
Xiaoqian Liu, Xu Han, Eric C. Chi +1
In 1-bit matrix completion, the aim is to estimate an underlying low-rank matrix from a partial set of binary observations. We propose a novel method for 1-bit matrix completion ca…
Robust Low-rank Tensor Decomposition with the Criterion
Qiang Heng, Eric C. Chi, Yufeng Liu
The growing prevalence of tensor data, or multiway arrays, in science and engineering applications motivates the need for tensor decompositions that are robust against outliers. In…
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation
Xinkai Zhou, Qiang Heng, Eric C. Chi +1
This paper advocates proximal Markov Chain Monte Carlo (ProxMCMC) as a flexible and general Bayesian inference framework for constrained or regularized estimation. Originally intro…
A Sharper Computational Tool for Regression
Xiaoqian Liu, Eric C. Chi, Kenneth Lange
Building on previous research of Chi and Chi (2022), the current paper revisits estimation in robust structured regression under the criterion. We adopt the ma…
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo
Qiang Heng, Hua Zhou, Eric C. Chi
Proximal Markov Chain Monte Carlo is a novel construct that lies at the intersection of Bayesian computation and convex optimization, which helped popularize the use of nondifferen…
A Convex-Nonconvex Strategy for Grouped Variable Selection
Xiaoqian Liu, Aaron J. Molstad, Eric C. Chi
This paper deals with the grouped variable selection problem. A widely used strategy is to augment the negative log-likelihood function with a sparsity-promoting penalty. Existing…