Ethan X. Fang

According to our database, Ethan X. Fang authored at least 20 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust matrix estimations meet Frank-Wolfe algorithm.

Naimin Jing, Ethan X. Fang, Cheng Yong Tang

Mach. Learn., July, 2023

Lagrangian Inference for Ranking Problems.

Yue Liu, Ethan X. Fang, Junwei Lu

Oper. Res., January, 2023

Inference on the Optimal Assortment in the Multinomial Logit Model.

Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu

CoRR, 2023

Combinatorial Inference on the Optimal Assortment in the Multinomial Logit Model.

Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

PASTA: Pessimistic Assortment Optimization.

Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh

Proceedings of the International Conference on Machine Learning, 2023

2022

Stochastic Compositional Optimization with Compositional Constraints.

Shuoguang Yang, Zhe Zhang, Ethan X. Fang

CoRR, 2022

2021

Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data.

Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao

CoRR, 2021

2020

High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix.

Cheng Yong Tang, Ethan X. Fang, Yuexiao Dong

J. Mach. Learn. Res., 2020

Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy.

Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang

CoRR, 2020

Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection.

Yining Wang, Yi Chen, Ethan X. Fang, Zhaoran Wang, Runze Li

CoRR, 2020

Implicit Bias of Gradient Descent based Adversarial Training on Separable Data.

Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Multilevel Stochastic Gradient Methods for Nested Composition Optimization.

Shuoguang Yang, Mengdi Wang, Ethan X. Fang

SIAM J. Optim., 2019

Misspecified nonconvex statistical optimization for sparse phase retrieval.

Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov

Math. Program., 2019

Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach.

Ethan X. Fang, Han Liu, Mengdi Wang

Math. Program., 2019

Inductive Bias of Gradient Descent based Adversarial Training on Separable Data.

Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao

CoRR, 2019

2018

Max-norm optimization for robust matrix recovery.

Ethan X. Fang, Han Liu, Kim-Chuan Toh, Wen-Xin Zhou

Math. Program., 2018

2017

Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions.

Mengdi Wang, Ethan X. Fang, Han Liu

Math. Program., 2017

Accelerating Stochastic Composition Optimization.

Mengdi Wang, Ji Liu, Ethan X. Fang

J. Mach. Learn. Res., 2017

Misspecified Nonconvex Statistical Optimization for Phase Retrieval.

Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov

CoRR, 2017

2015

Generalized alternating direction method of multipliers: new theoretical insights and applications.

Ethan X. Fang, Bingsheng He, Han Liu, Xiaoming Yuan

Math. Program. Comput., 2015