1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.OC2026
Tight Nonasymptotic Local Convergence of Sinkhorn-Knopp
Wenzhi Gao, Zhaonan Qu, Yinyu Ye +1
We revisit the Sinkhorn-Knopp (SK) algorithm for the matrix scaling problem. Despite extensive literature on the global convergence of SK and its variants, its local linear converg…
stat.ME2024★ 1 cited
Computationally Efficient Estimation of Large Probit Models
Patrick Ding, Guido Imbens, Zhaonan Qu +1
Probit models are useful for modeling correlated discrete responses in many disciplines, including consumer choice data in economics and marketing. However, the Gaussian latent var…
math.OC2022
Optimal Diagonal Preconditioning
Zhaonan Qu, Wenzhi Gao, Oliver Hinder +2
Preconditioning has long been a staple technique in optimization, often applied to reduce the condition number of a matrix and speed up the convergence of algorithms. Although ther…