Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities, Wayne Yuan Gao, Ming Li, and Sheng Xu, 2022. Journal of Econometrics.
Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements, Sheng Xu, and Zhou Fan, 2020. Journal of the Royal Statistical Society: Series B (JRSS-B). [Arxiv] [software]
On Gaussian comparison inequality and its application to spectral analysis of large random matrices, Fang Han, Sheng Xu, and Wen-Xin Zhou, 2018. Bernoulli, Volume 24, Number 3 (2018), 1787-1833. [Arxiv]
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS, Lin Chen, and Sheng Xu, International Conference on Learning Representations (ICLR), 2021.
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs, Sheng Xu, Zhou Fan, and Sahand Negahban, Conference on Learning Theory (COLT), 2020. [Arxiv][slides]
Robust estimation of transition matrices in high dimensional heavy-tailed vector autoregressive processes, Huitong Qiu, Sheng Xu, Fang Han, Han Liu, and Brian Caffo, International Conference on Machine Learning (ICML), 2015.
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM, Zhou Fan, Roy R. Lederman, Yi Sun, Tianhao Wang, and Sheng Xu, 2021. Submitted to Annals of Statistics.
Two-Stage Maximum Score Estimator, Wayne Yuan Gao, and Sheng Xu, 2020.
Rate optimal estimation of high dimensional time series, Fang Han, Sheng Xu, and Han Liu, 2017.