Ethan X. Fang

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 22

Top Topics

Optimization Problems

Stochastic Gradient

Top Venues

J. Mach. Learn. Res.

Publications

Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
PASTA: Pessimistic Assortment Optimization. CoRR (2023)
Yue Liu, Ethan X. Fang, Junwei Lu
Lagrangian Inference for Ranking Problems. Oper. Res. 71 (1) (2023)
Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu
Combinatorial Inference on the Optimal Assortment in the Multinomial Logit Model. EC (2023)
Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
PASTA: Pessimistic Assortment Optimization. ICML (2023)
Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu
Inference on the Optimal Assortment in the Multinomial Logit Model. CoRR (2023)
Naimin Jing, Ethan X. Fang, Cheng Yong Tang
Robust matrix estimations meet Frank-Wolfe algorithm. Mach. Learn. 112 (7) (2023)
Shuoguang Yang, Zhe Zhang, Ethan X. Fang
Stochastic Compositional Optimization with Compositional Constraints. CoRR (2022)
Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data. CoRR (2021)
Yue Liu, Ethan X. Fang, Junwei Lu
Lagrangian Inference for Ranking Problems. CoRR (2021)
Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao
Implicit Bias of Gradient Descent based Adversarial Training on Separable Data. ICLR (2020)
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 (2020)
Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang
Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. CoRR (2020)
Cheng Yong Tang, Ethan X. Fang, Yuexiao Dong
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix. J. Mach. Learn. Res. 21 (2020)
Shuoguang Yang, Mengdi Wang, Ethan X. Fang
Multilevel Stochastic Gradient Methods for Nested Composition Optimization. SIAM J. Optim. 29 (1) (2019)
Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao
Inductive Bias of Gradient Descent based Adversarial Training on Separable Data. CoRR (2019)
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) (2019)
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) (2019)
Ethan X. Fang, Han Liu, Kim-Chuan Toh, Wen-Xin Zhou
Max-norm optimization for robust matrix recovery. Math. Program. 167 (1) (2018)
Mengdi Wang, Ethan X. Fang, Han Liu
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions. Math. Program. 161 (1-2) (2017)
Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov
Misspecified Nonconvex Statistical Optimization for Phase Retrieval. CoRR (2017)
Mengdi Wang, Ji Liu, Ethan X. Fang
Accelerating Stochastic Composition Optimization. J. Mach. Learn. Res. 18 (2017)
Mengdi Wang, Ji Liu, Ethan X. Fang
Accelerating Stochastic Composition Optimization. NIPS (2016)
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) (2015)