Ethan Xingyuang Fang
Assistant Professor of Statistics
-
421B Thomas
University Park, PA - xxf13@psu.edu
- 814-865-3235
Links
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 SamplingMost 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