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ORCIDEthan X. Fang
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2020 – today
- 2023
[j11]Yue Liu, Ethan X. Fang
, Junwei Lu:
Lagrangian Inference for Ranking Problems. Oper. Res. 71(1): 202-223 (2023)- [j10]Ethan X. Fang, Yajun Mei, Yuyang Shi, Qunzhi Xu, Tuo Zhao:
Pivotal Estimation of Linear Discriminant Analysis in High Dimensions. J. Mach. Learn. Res. 24: 302:1-302:45 (2023) - [j9]Naimin Jing, Ethan X. Fang, Cheng Yong Tang:
Robust matrix estimations meet Frank-Wolfe algorithm. Mach. Learn. 112(7): 2723-2760 (2023) - [c4]Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh:
PASTA: Pessimistic Assortment Optimization. ICML 2023: 8276-8295 - [c3]Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu:
Combinatorial Inference on the Optimal Assortment in the Multinomial Logit Model. EC 2023: 1080 - [i9]Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu:
Inference on the Optimal Assortment in the Multinomial Logit Model. CoRR abs/2301.12254 (2023) - [i8]Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh:
PASTA: Pessimistic Assortment Optimization. CoRR abs/2302.03821 (2023) - 2022
- [i7]Shuoguang Yang, Zhe Zhang, Ethan X. Fang:
Stochastic Compositional Optimization with Compositional Constraints. CoRR abs/2209.04086 (2022) - 2021
- [i6]Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao:
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data. CoRR abs/2108.06808 (2021) - [i5]Yue Liu, Ethan X. Fang, Junwei Lu:
Lagrangian Inference for Ranking Problems. CoRR abs/2110.00151 (2021) - 2020
- [j8]Cheng Yong Tang, Ethan X. Fang, Yuexiao Dong:
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix. J. Mach. Learn. Res. 21: 19:1-19:25 (2020) - [c2]Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao:
Implicit Bias of Gradient Descent based Adversarial Training on Separable Data. ICLR 2020 - [i4]Yining Wang, Yi Chen, Ethan X. Fang, Zhaoran Wang, Runze Li:
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection. CoRR abs/2009.02003 (2020) - [i3]Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang:
Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. CoRR abs/2012.14098 (2020)
2010 – 2019
- 2019
- [j7]Ethan X. Fang, Han Liu, Mengdi Wang:
Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach. Math. Program. 176(1-2): 175-205 (2019) - [j6]Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov:
Misspecified nonconvex statistical optimization for sparse phase retrieval. Math. Program. 176(1-2): 545-571 (2019) - [j5]Shuoguang Yang, Mengdi Wang, Ethan X. Fang:
Multilevel Stochastic Gradient Methods for Nested Composition Optimization. SIAM J. Optim. 29(1): 616-659 (2019) - [i2]Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao:
Inductive Bias of Gradient Descent based Adversarial Training on Separable Data. CoRR abs/1906.02931 (2019) - 2018
- [j4]Ethan X. Fang, Han Liu, Kim-Chuan Toh, Wen-Xin Zhou:
Max-norm optimization for robust matrix recovery. Math. Program. 167(1): 5-35 (2018) - 2017
- [j3]Mengdi Wang, Ji Liu, Ethan X. Fang:
Accelerating Stochastic Composition Optimization. J. Mach. Learn. Res. 18: 105:1-105:23 (2017) - [j2]Mengdi Wang, Ethan X. Fang, Han Liu:
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions. Math. Program. 161(1-2): 419-449 (2017) - [i1]Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov:
Misspecified Nonconvex Statistical Optimization for Phase Retrieval. CoRR abs/1712.06245 (2017) - 2016
- [c1]Mengdi Wang, Ji Liu, Ethan X. Fang:
Accelerating Stochastic Composition Optimization. NIPS 2016: 1714-1722 - 2015
- [j1]Ethan X. Fang, Bingsheng He, Han Liu, Xiaoming Yuan:
Generalized alternating direction method of multipliers: new theoretical insights and applications. Math. Program. Comput. 7(2): 149-187 (2015)
Coauthor Index
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