Ethan Xingyuang Fang

Assistant Professor of Statistics

Ethan Xingyuang Fang

Publication Tags

Optimization Randomized Trial Estimator Obesity Recovery O Glcnac Transferase Chemical Analysis Confidence Interval Fats Linear Programming High Dimensional Gradient Methods Brain Lipids Optimization Problem Gradient Method Testing Stochastic Gradient Stochastic Methods Diets Hazard Function Adipocytes Hyperphagia Modeling Norm

Most Recent Papers

High-dimensional Interactions Detection with Sparse Principal Hessian Matrix

Cheng Yong Tang, Xingyuan Fang, Yuexiao Dong, Journal of Machine Learning Research

Optimal, two-stage, adaptive enrichment designs for randomized trials, using sparse linear programming

Michael Rosenblum, Ethan X. Fang, Han Liu, 2020, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 749-772

High-dimensional interactions detection with sparse principal hessian matrix

Cheng Yong Tang, Ethan X. Fang, Yuexiao Dong, 2020, Journal of Machine Learning Research

Constructing a confidence interval for the fraction who benefit from treatment, using randomized trial data

Emily J. Huang, Ethan X. Fang, Daniel F. Hanley, Michael Rosenblum, 2019, Biometrics on p. 1228-1239

Blessing of massive scale: Spatial graphical model estimation with a total cardinality constraint approach

Xingyuan Fang, Han Liu, Mengdi Wang, 2019, Mathematical Programming on p. 175-205

Misspecified nonconvex statistical optimization for sparse phase retrieval

Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov, 2019, Mathematical Programming on p. 545-571

Multilevel stochastic gradient methods for nested composition optimization

Shuoguang Yang, Mengdi Wang, Ethan X. Fang, 2019, SIAM Journal on Optimization on p. 616-659

Adipocyte OGT governs diet-induced hyperphagia and obesity

Min Dian Li, Nicholas B. Vera, Yunfan Yang, Bichen Zhang, Weiming Ni, Enida Ziso-Qejvanaj, Sheng Ding, Kaisi Zhang, Ruonan Yin, Simeng Wang, Xu Zhou, Ethan X. Fang, Tian Xu, Derek M. Erion, Xiaoyong Yang, 2018, Nature Communications

Adipocyte OGT Regulates a Fat-Sensing Adipose-to-Brain Axis That Induces Hyperphagia and Obesity

Min-Dian Li, N Vera, Y Yang, B Zhang, W Ni, E Ziso-Qejvanaj, S Ding, K Zhang, R Yin, S Wang, X Zhou, Xingyuan Fang, T Xu, E Erion, Xiaoyong Yang, 2018, Nature Communications

Max-norm optimization for robust matrix recovery

Ethan X. Fang, Han Liu, Kim Chuan Toh, Wen Xin Zhou, 2018, Mathematical Programming on p. 5-35

Most-Cited Papers

Stochastic compositional gradient descent

Mengdi Wang, Ethan X. Fang, Han Liu, 2017, Mathematical Programming on p. 419-449

Generalized alternating direction method of multipliers

Xingyuan Fang, Bingsheng He, Han Liu, Xiaoming Yuan, 2015, Mathematical Programming Computation on p. 149-187

Adipocyte OGT governs diet-induced hyperphagia and obesity

Min Dian Li, Nicholas B. Vera, Yunfan Yang, Bichen Zhang, Weiming Ni, Enida Ziso-Qejvanaj, Sheng Ding, Kaisi Zhang, Ruonan Yin, Simeng Wang, Xu Zhou, Ethan X. Fang, Tian Xu, Derek M. Erion, Xiaoyong Yang, 2018, Nature Communications

Testing and confidence intervals for high dimensional proportional hazards models

Ethan X. Fang, Yang Ning, Han Liu, 2017, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 1415-1437

Inequality in treatment benefits

Emily J. Huang, Ethan X. Fang, Daniel F. Hanley, Michael Rosenblum, 2017, Biostatistics on p. 308-324

Accelerating Stochastic Composition Optimization

Mengdi Wang, Ji Liu, Ethan X. Fang, 2017, Journal of Machine Learning Research on p. 1-23

Multilevel stochastic gradient methods for nested composition optimization

Shuoguang Yang, Mengdi Wang, Ethan X. Fang, 2019, SIAM Journal on Optimization on p. 616-659

Max-norm optimization for robust matrix recovery

Ethan X. Fang, Han Liu, Kim Chuan Toh, Wen Xin Zhou, 2018, Mathematical Programming on p. 5-35

Mining Massive Amounts of Genomic Data

Ethan X. Fang, Min Dian Li, Michael I. Jordan, Han Liu, 2017, Journal of the American Statistical Association on p. 921-932

Misspecified nonconvex statistical optimization for sparse phase retrieval

Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov, 2019, Mathematical Programming on p. 545-571