Ethan Xingyuang Fang

Assistant Professor of Statistics

Ethan Xingyuang Fang

Publication Tags

Optimization Chemical Analysis Randomized Trial Confidence Interval High Dimensional Gradient Methods Estimator Linear Programming Testing Optimization Problem Gradient Method Experiments Test Statistic Stochastic Gradient Stochastic Methods Hypothesis Testing Obesity Link Function Hazard Function O Glcnac Transferase Fats Longitudinal Data Phase Retrieval Proportional Hazards Model Statistics

Most Recent Papers

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

Michael Rosenblum, Xingyuan Fang, H Liu, Journal of Royal Statistical Society: Series B

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

Test of significance for high-dimensional longitudinal data

Ethan X. Fang, Yang Ning, Runze Li, 2020, Annals of Statistics on p. 2622-2645

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

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: Spatial graphical model estimation with a total cardinality constraint approach

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 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

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

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, 2016, Advances in Neural Information Processing Systems on p. 1722-1730

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

Accelerating Stochastic Composition Optimization

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

Using a distributed SDP approach to solve simulated protein molecular conformation problems

Xingyuan Fang, Kim Chuan Toh, 2013, on p. 351-376

Inequality in treatment benefits

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

Multilevel stochastic gradient methods for nested composition optimization

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

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