26 citations · 32 across the 22 of their papers we have counts for
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cs.IT2026
Instance Optimal Sparse Recovery from Nonlinear Observations: A Unified Framework
Junren Chen, Arian Maleki
This paper develops a unified framework for instance optimal sparse recovery from nonlinear observations. The main ingredient is a signal-dependent restricted approximate invertibi…
cs.IT2026
Near-Optimal Lower Bounds on One-Bit Compressed Sensing of Approximately Sparse Signals
Junren Chen, Arya Mazumdar, Ming Yuan
This paper provides the first near-optimal lower bounds for one-bit compressed sensing of approximately sparse signals lying in a scaled ball, which is a commonly adopted…
cs.IT2026
One-Bit Clustering for Two Component Sub-Gaussian Mixture Models
Junren Chen, Yun Yang
Clustering is a fundamental problem in statistics and machine learning. We propose the first one-bit clustering method for two-component sub-Gaussian mixture models. The method use…