26 citations · 32 across the 22 of their papers we have counts for
5 papers · 1 filter
Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design
Junren Chen, Arya Mazumdar
We consider the parameter estimation problem in logistic regression with Gaussian design: the estimation of a fixed unknown parameter () from…
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate
Junren Chen, Michael K. Ng
A covariance matrix estimator using two bits per entry was recently developed by Dirksen, Maly and Rauhut [Annals of Statistics, 50(6), pp. 3538-3562]. The estimator achieves near…
Quantized Low-Rank Multivariate Regression with Random Dithering
Junren Chen, Yueqi Wang, Michael K. Ng
Low-rank multivariate regression (LRMR) is an important statistical learning model that combines highly correlated tasks as a multiresponse regression problem with low-rank priori…
Error Bound of Empirical Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems
Junren Chen, Michael K. Ng
In this paper, we study the estimation performance of empirical risk minimization (ERM) in noisy (standard) phase retrieval (NPR) given by , or noi…
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization
Junren Chen, Cheng-Long Wang, Michael K. Ng +1
In this paper, we propose a uniformly dithered 1-bit quantization scheme for high-dimensional statistical estimation. The scheme contains truncation, dithering, and quantization as…