139 citations · 725 across the 72 of their papers we have counts for
41 papers · 1 filter
Power Iteration for Tensor PCA
Jiaoyang Huang, Daniel Z. Huang, Qing Yang +1
In this paper, we study the power iteration algorithm for the spiked tensor model, as introduced in [44]. We give necessary and sufficient conditions for the convergence of the pow…
Sparse Confidence Sets for Normal Mean Models
Yang Ning, Guang Cheng
In this paper, we propose a new framework to construct confidence sets for a -dimensional unknown sparse parameter under the normal mean model . A key featu…
On Deep Instrumental Variables Estimate
Ruiqi Liu, Zuofeng Shang, Guang Cheng
The endogeneity issue is fundamentally important as many empirical applications may suffer from the omission of explanatory variables, measurement error, or simultaneous causality.…
Adaptive Variational Bayesian Inference for Sparse Deep Neural Network
Jincheng Bai, Qifan Song, Guang Cheng
In this work, we focus on variational Bayesian inference on the sparse Deep Neural Network (DNN) modeled under a class of spike-and-slab priors. Given a pre-specified sparse DNN st…
Enhancing Multi-model Inference with Natural Selection
Ching-Wei Cheng, Guang Cheng
Multi-model inference covers a wide range of modern statistical applications such as variable selection, model confidence set, model averaging and variable importance. The performa…
Distributed Nearest Neighbor Classification
Jiexin Duan, Xingye Qiao, Guang Cheng
Nearest neighbor is a popular nonparametric method for classification and regression with many appealing properties. In the big data era, the sheer volume and spatial/temporal disp…