Ethan Xingyuang Fang

Assistant Professor of Statistics

Ethan Xingyuang Fang

Publication Tags

Optimization Confidence Interval Estimator Chemical Analysis Fats Testing Modeling Hypothesis Testing Obesity Recovery Proportional Hazards Model O Glcnac Transferase Hazard Function Randomized Trial Gradient Methods High Dimensional Linear Programming Tumor Brain Lipids Gradient Method Experiments Stochastic Methods Stochastic Gradient Sampling

Most Recent Papers

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

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

Blessing of massive scale

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

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, Xingyuan Fang, Tian Xu, Derek M. 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

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

Accelerating Stochastic Composition Optimization

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

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

Inequality in treatment benefits

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

Most-Cited Papers

Generalized alternating direction method of multipliers

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

Stochastic compositional gradient descent

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

Inequality in treatment benefits

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

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

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

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

Accelerating Stochastic Composition Optimization

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

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, Xingyuan Fang, Tian Xu, Derek M. Erion, Xiaoyong Yang, 2018, Nature communications

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

Multilevel stochastic gradient methods for nested composition optimization

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