Junren Chen

most citedError Bound of Empirical

ℓ_{2}

Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.IT2024

Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors

Junren Chen, Zhaoqiang Liu, Meng Ding +1

This paper studies quantized corrupted sensing where the measurements are contaminated by unknown corruption and then quantized by a dithered uniform quantizer. We establish unifor…

eess.SP2023★ 2 cited

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 $x^{*} \in R^{n}$ from $m$ measurements ( $m ≪ n$ ) using a generative prior $\mathbf{x}^*\in G(\ma…

stat.ML2022★ 2 cited

Error Bound of Empirical $ℓ_{2}$ 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 $ℓ_{2}$ risk minimization (ERM) in noisy (standard) phase retrieval (NPR) given by $y_{k} = ∣ α_{k}^{*} x_{0} ∣^{2} + η_{k}$ , or noi…

Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors

A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing

Error Bound of Empirical ℓ2​ Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems

Error Bound of Empirical $ℓ_{2}$ Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems