4 citations · 4 across the 4 of their papers we have counts for
4 papers
Distributed Prediction under Heterogeneity with Unidentifiable Parameter
Erbo Li, Zhaojun Hu, Ting Wei +2
Predicting a response based on covariates is a fundamental problem in statistics and machine learning. However, profound difficulties arise when the underlying low-dimensional stru…
Distributed Reconstruction from Compressive Measurements: Nonconvexity and Heterogeneity
Erbo Li, Qi Qin, Yifan Sun +1
The compressive sensing (CS) and 1-bit CS demonstrate superior efficiency in signal acquisition and resource conservation, while 1-bit CS achieves maximum resource efficiency throu…
From Conditional to Unconditional Independence: Testing Conditional Independence via Transport Maps
Chenxuan He, Yuan Gao, Liping Zhu +1
Testing conditional independence between two random vectors given a third is a fundamental and challenging problem in statistics, particularly in multivariate nonparametric setting…
Robust Decoding from 1-Bit Compressive Sampling with Least Squares
Jian Huang, Yuling Jiao, Xiliang Lu +1
In 1-bit compressive sensing (1-bit CS) where target signal is coded into a binary measurement, one goal is to recover the signal from noisy and quantized samples. Mathematically,…