Ethan X. Fang - RankMe

38 papers A* 6Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization. CoRR Junyi Liao, Zihan Zhu, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2026	J	`jnl`	In-Context Reinforcement Learning From Suboptimal Historical Data. CoRR Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2026	J	`jnl`	Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers. CoRR Juncheng Dong, Bowen He, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2026	J	`jnl`	Stochastic Compositional Optimization with Compositional Constraints. INFORMS J. Optim. Shuoguang Yang, Wei You, Zhe Zhang, Ethan X. Fang
2025	J	`jnl`	A Smoothed Augmented Lagrangian Framework for Convex Optimization with Nonsmooth Constraints. J. Sci. Comput. Peixuan Zhang, Uday V. Shanbhag, Ethan X. Fang
2025	J	`jnl`	Contextual Online Uncertainty-Aware Preference Learning for Human Feedback. CoRR Nan Lu, Ethan X. Fang, Junwei Lu
2025	J	`jnl`	Data-Driven Compositional Optimization in Misspecified Regimes. Oper. Res. Shuoguang Yang, Ethan X. Fang, Uday V. Shanbhag
2025	A*	`conf`	Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization. ICML Junyi Liao, Zihan Zhu, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2025	J	`jnl`	Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation. CoRR Yichi Zhang, Alexander Belloni, Ethan X. Fang, Junwei Lu, Xiaoan Xu
2025	A*	`conf`	In-Context Reinforcement Learning From Suboptimal Historical Data. ICML Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2025	J	`jnl`	Offline Feature-Based Pricing Under Censored Demand: A Causal Inference Approach. Manuf. Serv. Oper. Manag. Jingwen Tang, Zhengling Qi, Ethan X. Fang, Cong Shi
2025	J	`jnl`	PASTA: A Unified Framework for Offline Assortment Learning. CoRR Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2024	J	`jnl`	Ranking of Large Language Model with Nonparametric Prompts. CoRR Zebin Wang, Yi Han, Ethan X. Fang, Lan Wang, Junwei Lu
2023	A*	`conf`	Combinatorial Inference on the Optimal Assortment in the Multinomial Logit Model. EC Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu
2023	J	`jnl`	Inference on the Optimal Assortment in the Multinomial Logit Model. CoRR Shuting Shen, Xi Chen, Ethan X. Fang, Junwei Lu
2023	J	`jnl`	Lagrangian Inference for Ranking Problems. Oper. Res. Yue Liu, Ethan X. Fang, Junwei Lu
2023	A*	`conf`	Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games. NeurIPS Zihan Zhu, Ethan X. Fang, Zhuoran Yang
2023	A*	`conf`	PASTA: Pessimistic Assortment Optimization. ICML Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2023	J	`jnl`	PASTA: Pessimistic Assortment Optimization. CoRR Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2023	J	`jnl`	Pivotal Estimation of Linear Discriminant Analysis in High Dimensions. J. Mach. Learn. Res. Ethan X. Fang, Yajun Mei, Yuyang Shi, Qunzhi Xu, Tuo Zhao
2023	J	`jnl`	Robust matrix estimations meet Frank-Wolfe algorithm. Mach. Learn. Naimin Jing, Ethan X. Fang, Cheng Yong Tang
2022	J	`jnl`	Stochastic Compositional Optimization with Compositional Constraints. CoRR Shuoguang Yang, Zhe Zhang, Ethan X. Fang
2021	J	`jnl`	Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data. CoRR Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao
2021	J	`jnl`	Lagrangian Inference for Ranking Problems. CoRR Yue Liu, Ethan X. Fang, Junwei Lu
2020	J	`jnl`	High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix. J. Mach. Learn. Res. Cheng Yong Tang, Ethan X. Fang, Yuexiao Dong
2020	A*	`conf`	Implicit Bias of Gradient Descent based Adversarial Training on Separable Data. ICLR Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao
2020	J	`jnl`	Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection. CoRR Yining Wang, Yi Chen, Ethan X. Fang, Zhaoran Wang, Runze Li
2020	J	`jnl`	Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. CoRR Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach. Math. Program. Ethan X. Fang, Han Liu, Mengdi Wang
2019	J	`jnl`	Inductive Bias of Gradient Descent based Adversarial Training on Separable Data. CoRR Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao
2019	J	`jnl`	Misspecified nonconvex statistical optimization for sparse phase retrieval. Math. Program. Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov
2019	J	`jnl`	Multilevel Stochastic Gradient Methods for Nested Composition Optimization. SIAM J. Optim. Shuoguang Yang, Mengdi Wang, Ethan X. Fang
2018	J	`jnl`	Max-norm optimization for robust matrix recovery. Math. Program. Ethan X. Fang, Han Liu, Kim-Chuan Toh, Wen-Xin Zhou
2017	J	`jnl`	Accelerating Stochastic Composition Optimization. J. Mach. Learn. Res. Mengdi Wang, Ji Liu, Ethan X. Fang
2017	J	`jnl`	Misspecified Nonconvex Statistical Optimization for Phase Retrieval. CoRR Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov
2017	J	`jnl`	Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions. Math. Program. Mengdi Wang, Ethan X. Fang, Han Liu
2016	—	`conf`	Accelerating Stochastic Composition Optimization. NIPS Mengdi Wang, Ji Liu, Ethan X. Fang
2015	J	`jnl`	Generalized alternating direction method of multipliers: new theoretical insights and applications. Math. Program. Comput. Ethan X. Fang, Bingsheng He, Han Liu, Xiaoming Yuan