8 citations · 8 across the 4 of their papers we have counts for
4 papers
The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation
T. Tony Cai, Yicheng Li
We study scalar-on-function linear regression when each covariate curve is observed only through finitely many noisy point evaluations. Our goal is to characterize the minimax esti…
Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
T. Tony Cai, Yicheng Li
Estimating covariance matrices is fundamental to a wide range of statistical applications. This paper studies minimax and adaptive estimation of high-dimensional covariance matrice…
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent
Yicheng Li, Xinghua Sun
This paper proposes and analyzes a gradient-type algorithm based on Burer-Monteiro factorization, called the Asymmetric Projected Gradient Descent (APGD), for reconstructing the po…
Sensor Network Localization via Riemannian Conjugate Gradient and Rank Reduction: An Extended Version
Yicheng Li, Xinghua Sun
This paper addresses the Sensor Network Localization (SNL) problem using received signal strength. The SNL is formulated as an Euclidean Distance Matrix Completion (EDMC) problem u…