13 citations · 17 across the 3 of their papers we have counts for
5 papers
Improving COVID-19 Forecasting using eXogenous Variables
Mohammadhossein Toutiaee, Xiaochuan Li, Yogesh Chaudhari +7
In this work, we study the pandemic course in the United States by considering national and state levels data. We propose and compare multiple time-series prediction techniques whi…
Best Subset Selection: Statistical Computing Meets Quantum Computing
Wenxuan Zhong, Yuan Ke, Ye Wang +3
With the rapid development of quantum computers, quantum algorithms have been studied extensively. However, quantum algorithms tackling statistical problems are still lacking. In t…
Large-scale optimal transport map estimation using projection pursuit
Cheng Meng, Yuan Ke, Jingyi Zhang +3
This paper studies the estimation of large-scale optimal transport maps (OTM), which is a well-known challenging problem owing to the curse of dimensionality. Existing literature a…
Model-free Feature Screening and FDR Control with Knockoff Features
Wanjun Liu, Yuan Ke, Jingyuan Liu +1
This paper proposes a model-free and data-adaptive feature screening method for ultra-high dimensional datasets. The proposed method is based on the projection correlation which me…
User-Friendly Covariance Estimation for Heavy-Tailed Distributions
Yuan Ke, Stanislav Minsker, Zhao Ren +2
We offer a survey of recent results on covariance estimation for heavy-tailed distributions. By unifying ideas scattered in the literature, we propose user-friendly methods that fa…