9 citations · 13 across the 6 of their papers we have counts for
6 papers
Relative Entropy Gradient Sampler for Unnormalized Distributions
Xingdong Feng, Yuan Gao, Jian Huang +2
We propose a relative entropy gradient sampler (REGS) for sampling from unnormalized distributions. REGS is a particle method that seeks a sequence of simple nonlinear transforms i…
Parallel subgroup analysis of high-dimensional data via M-regression
Chao Cheng, Xingdong Feng
It becomes an interesting problem to identify subgroup structures in data analysis as populations are probably heterogeneous in practice. In this paper, we consider M-estimators to…
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Sanyou Wu, Xingdong Feng, Fan Zhou
Deep semi-supervised learning has been widely implemented in the real-world due to the rapid development of deep learning. Recently, attention has shifted to the approaches such as…
-Regularized High-dimensional Accelerated Failure Time Model
Xingdong Feng, Jian Huang, Yuling Jiao +1
We develop a constructive approach for -penalized estimation in the sparse accelerated failure time (AFT) model with high-dimensional covariates. Our proposed method is bas…
Statistical inference based on robust low-rank data matrix approximation
Xingdong Feng, Xuming He
The singular value decomposition is widely used to approximate data matrices with lower rank matrices. Feng and He [Ann. Appl. Stat. 3 (2009) 1634-1654] developed tests on dimensio…
Inference on low-rank data matrices with applications to microarray data
Xingdong Feng, Xuming He
Probe-level microarray data are usually stored in matrices, where the row and column correspond to array and probe, respectively. Scientists routinely summarize each array by a sin…