2 citations · 3 across the 15 of their papers we have counts for
4 papers · 1 filter
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
Junren Chen, Jonathan Scarlett, Michael K. Ng +1
In generative compressed sensing (GCS), we want to recover a signal from measurements () using a generative prior $\mathbf{x}^*\in G(\ma…
Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors
Junren Chen, Michael K. Ng, Zhaoqiang Liu
The problem of recovering a signal from a quadratic system with full-rank ma…
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…