Robust high dimensional factor models with applications to statistical machine learning

12 August 2018

Papers citing "Robust high dimensional factor models with applications to statistical machine learning"

22 / 22 papers shown

Title
Factor Adjusted Spectral Clustering for Mixture Models Shange Tang Soham Jana Jianqing Fan 19 0 0 22 Aug 2024
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity Rheeya Uppaal Apratim De Yiting He Yiquao Zhong Junjie Hu 29 7 0 22 May 2024
On varimax asymptotics in network models and spectral methods for dimensionality reduction Joshua Cape 28 1 0 08 Mar 2024
A statistical framework for GWAS of high dimensional phenotypes using summary statistics, with application to metabolite GWAS Weiqiong Huang Emily C. Hector Joshua Cape Chris McKennan 11 0 0 17 Mar 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 20 4 0 10 Mar 2023
On the Provable Advantage of Unsupervised Pretraining Jiawei Ge Shange Tang Jianqing Fan Chi Jin SSL 15 16 0 02 Mar 2023
Factor-Augmented Regularized Model for Hazard Regression Pierre Bayle Jianqing Fan 11 4 0 03 Oct 2022
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization Junren Chen Cheng-Long Wang Michael Kwok-Po Ng Di Wang MQ 8 17 0 26 Feb 2022
An approximate randomization test for high-dimensional two-sample Behrens-Fisher problem under arbitrary covariances Rui Wang Wang-li Xu 8 8 0 04 Aug 2021
Inference for Heteroskedastic PCA with Missing Data Yuling Yan Yuxin Chen Jianqing Fan 6 15 0 26 Jul 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 6 135 0 15 Dec 2020
Edge statistics of large dimensional deformed rectangular matrices Xiucai Ding Fan Yang 15 9 0 01 Sep 2020
Understanding Implicit Regularization in Over-Parameterized Single Index Model Jianqing Fan Zhuoran Yang Mengxin Yu 6 12 0 16 Jul 2020
Entrywise convergence of iterative methods for eigenproblems Vasileios Charisopoulos Austin R. Benson Anil Damle 6 2 0 19 Feb 2020
Statistical Inference for High-Dimensional Matrix-Variate Factor Model Elynn Y. Chen Jianqing Fan 16 47 0 07 Jan 2020
$Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees$ Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees Changxiao Cai Gen Li Yuejie Chi H. Vincent Poor Yuxin Chen 14 11 0 09 Oct 2019
Optimal estimation of functionals of high-dimensional mean and covariance matrix Jianqing Fan Haolei Weng Yifeng Zhou 14 7 0 20 Aug 2019
Uniform bounds for invariant subspace perturbations Anil Damle Yuekai Sun 12 22 0 20 May 2019
Bayesian Factor-adjusted Sparse Regression Jianqing Fan Bai Jiang Qiang Sun 12 3 0 23 Mar 2019
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank Emmanuel Abbe Jianqing Fan Kaizheng Wang Yiqiao Zhong 14 237 0 27 Sep 2017
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 42 95 0 28 Mar 2016
Factor modeling for high-dimensional time series: Inference for the number of factors Clifford Lam Q. Yao 38 473 0 04 Jun 2012