Ethan Xingyuang Fang
Assistant Professor of Statistics

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421B Thomas
University Park, PA - xxf13@psu.edu
- 814-865-3235
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Testing Longitudinal Data Chemical Analysis Test Statistic Gradient Methods Confidence Interval High Dimensional Optimization Problem Randomized Trial Descent Hazard Function Robustness O Glcnac Transferase Linear Programming Proportional Hazards Model Fairness Optimization Trend Obesity Hypothesis Testing Fats High Dimensional Data Bandit Problems Type I Error EstimatorMost Recent Publications
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
Robust matrix estimations meet Frank–Wolfe algorithm
Naimin Jing, Ethan X. Fang, Cheng Yong Tang, 2023, Machine Learning on p. 2723-2760
Lagrangian Inference for Ranking Problems
Yue Liu, Ethan X. Fang, Junwei Lu, 2023, Operations Research on p. 202-223
Deep Spatial Q-Learning for Infectious Disease Control
Zhishuai Liu, Jesse Clifton, Eric B. Laber, John Drake, Ethan X. Fang, 2023, Journal of Agricultural, Biological, and Environmental Statistics
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection
Yi Chen, Yining Wang, Ethan X. Fang, Zhaoran Wang, Runze Li, 2022, Journal of the American Statistical Association
Fairness-Oriented Learning for Optimal Individualized Treatment Rules
Ethan X. Fang, Zhaoran Wang, Lan Wang, 2022, Journal of the American Statistical Association
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
IMPLICIT BIAS OF GRADIENT DESCENT BASED ADVERSARIAL TRAINING ON SEPARABLE DATA
Yan Li, Huan Xu, Tuo Zhao, Ethan X. Fang, 2020,
Test of significance for high-dimensional longitudinal data
Ethan X. Fang, Yang Ning, Runze Li, 2020, Annals of Statistics on p. 2622-2645
Most-Cited Papers
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
Mengdi Wang, Ethan X. Fang, Han Liu, 2017, Mathematical Programming on p. 419-449
Generalized alternating direction method of multipliers: new theoretical insights and applications
Ethan X. 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
Accelerating Stochastic Composition Optimization
Mengdi Wang, Ji Liu, Ethan X. Fang, 2017, Journal of Machine Learning Research on p. 1-23
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
Multilevel stochastic gradient methods for nested composition optimization
Shuoguang Yang, Mengdi Wang, Ethan X. Fang, 2019, SIAM Journal on Optimization on p. 616-659
Test of significance for high-dimensional longitudinal data
Ethan X. Fang, Yang Ning, Runze Li, 2020, Annals of Statistics on p. 2622-2645
IMPLICIT BIAS OF GRADIENT DESCENT BASED ADVERSARIAL TRAINING ON SEPARABLE DATA
Yan Li, Huan Xu, Tuo Zhao, Ethan X. Fang, 2020,
Using a distributed SDP approach to solve simulated protein molecular conformation problems
Xingyuan Fang, Kim Chuan Toh, 2013, on p. 351-376