activity
20152023
most citedInnovated interaction screening for high-dimensional nonlinear classification

60 citations · 83 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2023

Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension

Daoji Li, Yinfei Kong, Dawit Zerom

In practical applications, one often does not know the "true" structure of the underlying conditional quantile function, especially in the ultra-high dimensional setting. To deal w…

stat.AP2019

Dealing With Ratio Metrics in A/B Testing at the Presence of Intra-User Correlation and Segments

Keyu Nie, Yinfei Kong, Ted Tao Yuan +1

We study ratio metrics in A/B testing at the presence of correlation among observations coming from the same user and provides practical guidance especially when two metrics contra…

stat.ME2016★ 18 cited

Interaction Pursuit with Feature Screening and Selection

Yingying Fan, Yinfei Kong, Daoji Li +1

Understanding how features interact with each other is of paramount importance in many scientific discoveries and contemporary applications. Yet interaction identification becomes…

stat.ME2016★ 4 cited

Interaction pursuit in high-dimensional multi-response regression via distance correlation

Yinfei Kong, Daoji Li, Yingying Fan +1

Feature interactions can contribute to a large proportion of variation in many prediction models. In the era of big data, the coexistence of high dimensionality in both responses a…

stat.ME2016★ 1 cited

The constrained Dantzig selector with enhanced consistency

Yinfei Kong, Zemin Zheng, Jinchi Lv

The Dantzig selector has received popularity for many applications such as compressed sensing and sparse modeling, thanks to its computational efficiency as a linear programming pr…

stat.ML2015★ 60 cited

Innovated interaction screening for high-dimensional nonlinear classification

Yingying Fan, Yinfei Kong, Daoji Li +1

This paper is concerned with the problems of interaction screening and nonlinear classification in a high-dimensional setting. We propose a two-step procedure, IIS-SQDA, where in t…