activity
20082021
most citedVariable selection for the multicategory SVM via adaptive sup-norm regularization

54 citations · 62 across the 10 of their papers we have counts for

collaborators

11 papers

stat.ML20211 cited

Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules

Weibin Mo, Zhengling Qi, Yufeng Liu

We thank the opportunity offered by editors for this discussion and the discussants for their insightful comments and thoughtful contributions. We also want to congratulate Kallus…

stat.ME20201 cited

Angle-based hierarchical classification using exact label embedding

Yiwei Fan, Xiaoling Lu, Yufeng Liu +1

Hierarchical classification problems are commonly seen in practice. However, most existing methods do not fully utilize the hierarchical information among class labels. In this pap…

stat.ML2020

Learning Optimal Distributionally Robust Individualized Treatment Rules

Weibin Mo, Zhengling Qi, Yufeng Liu

Recent development in the data-driven decision science has seen great advances in individualized decision making. Given data with individual covariates, treatment assignments and o…

stat.ML2019

High dimensional precision medicine from patient-derived xenografts

Naim U. Rashid, Daniel J. Luckett, Jingxiang Chen +8

The complexity of human cancer often results in significant heterogeneity in response to treatment. Precision medicine offers potential to improve patient outcomes by leveraging th…

math.ST20193 cited

Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization

Zhengling Qi, Ying Cui, Yufeng Liu +1

This paper has two main goals: (a) establish several statistical properties---consistency, asymptotic distributions, and convergence rates---of stationary solutions and values of a…

math.OC2019

Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes

Zhengling Qi, Ying Cui, Yufeng Liu +1

Recent exploration of optimal individualized decision rules (IDRs) for patients in precision medicine has attracted a lot of attention due to the heterogeneous responses of patient…