Bo Li - RankMe

66 papers A* 23A 2Journal 36Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Lower Bias, Higher Welfare: How Creator Competition Reshapes Bias-Variance Tradeoff in Recommendation Platforms? KDD (1) Kang Wang, Renzhe Xu, Bo Li
2025	A*	`conf`	Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources. ICML Renzhe Xu, Kang Wang, Bo Li
2025	J	`jnl`	Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources. CoRR Renzhe Xu, Kang Wang, Bo Li
2025	J	`jnl`	Learning double balancing representation for heterogeneous dose-response curve estimation. Neural Networks Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Fei Wu, Kun Kuang
2025	J	`jnl`	Lower Bias, Higher Welfare: How Creator Competition Reshapes Bias-Variance Tradeoff in Recommendation Platforms? CoRR Kang Wang, Renzhe Xu, Bo Li
2025	J	`jnl`	Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. IEEE Trans. Knowl. Data Eng. Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu
2025	—	`conf`	PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. KDD (2) Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2024	A*	`conf`	Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024	J	`jnl`	Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024	A	`conf`	Enhancing Distributional Stability among Sub-populations. AISTATS Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui
2024	A*	`conf`	Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. ICML Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
2024	J	`jnl`	PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. CoRR Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2023	A*	`conf`	Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. ICML Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2023	J	`jnl`	Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. CoRR Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2023	J	`jnl`	Differentiated matching for individual and average treatment effect estimation. Data Min. Knowl. Discov. Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu
2023	J	`jnl`	Distributionally Robust Learning With Stable Adversarial Training. IEEE Trans. Knowl. Data Eng. Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
2023	—	`conf`	Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. CLeaR Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui
2023	J	`jnl`	Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. CoRR Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
2023	J	`jnl`	Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu
2023	A*	`conf`	Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2023	A*	`conf`	Measure the Predictive Heterogeneity. ICLR Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
2023	J	`jnl`	Predictive Heterogeneity: Measures and Applications. CoRR Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
2023	A*	`conf`	Stable Estimation of Heterogeneous Treatment Effects. ICML Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
2023	J	`jnl`	Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
2022	J	`jnl`	Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
2022	J	`jnl`	Confounder Balancing for Instrumental Variable Regression with Latent Variable. CoRR Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
2022	A*	`conf`	Counterfactual Prediction for Outcome-Oriented Treatments. ICML Hao Zou, Bo Li, Jiangang Han, Shuiping Chen, Xuetao Ding, Peng Cui
2022	J	`jnl`	Data-Driven Variable Decomposition for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang
2022	J	`jnl`	Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui
2022	A*	`conf`	Distributionally Robust Optimization with Data Geometry. NeurIPS Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
2022	A*	`conf`	Instrumental Variable Regression with Confounder Balancing. ICML Anpeng Wu, Kun Kuang, Bo Li, Fei Wu
2022	A*	`conf`	Product Ranking for Revenue Maximization with Multiple Purchases. NeurIPS Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
2022	J	`jnl`	Product Ranking for Revenue Maximization with Multiple Purchases. CoRR Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
2022	A*	`conf`	Regulatory Instruments for Fair Personalized Pricing. WWW Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
2022	J	`jnl`	Regulatory Instruments for Fair Personalized Pricing. CoRR Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
2022	J	`jnl`	Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. CoRR Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2021	J	`jnl`	Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
2021	J	`jnl`	Continuous treatment effect estimation via generative adversarial de-confounding. Data Min. Knowl. Discov. Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu
2021	J	`jnl`	Distributionally Robust Learning with Stable Adversarial Training. CoRR Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
2021	A*	`conf`	Heterogeneous Risk Minimization. ICML Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	J	`jnl`	Heterogeneous Risk Minimization. CoRR Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	A*	`conf`	Kernelized Heterogeneous Risk Minimization. NeurIPS Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	J	`jnl`	Kernelized Heterogeneous Risk Minimization. CoRR Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
2021	A*	`conf`	Stable Adversarial Learning under Distributional Shifts. AAAI Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2020	A*	`conf`	Algorithmic Decision Making with Conditional Fairness. KDD Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020	J	`jnl`	Algorithmic Decision Making with Conditional Fairness. CoRR Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020	—	`conf`	Continuous Treatment Effect Estimation via Generative Adversarial De-confounding. CD@KDD Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu
2020	A*	`conf`	Counterfactual Prediction for Bundle Treatment. NeurIPS Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He
2020	J	`jnl`	Invariant Adversarial Learning for Distributional Robustness. CoRR Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2020	J	`jnl`	Learning Decomposed Representation for Counterfactual Inference. CoRR Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu
2020	A*	`conf`	Stable Learning via Differentiated Variable Decorrelation. KDD Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen
2020	J	`jnl`	Stable Prediction via Leveraging Seed Variable. CoRR Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu
2020	A*	`conf`	Stable Prediction with Model Misspecification and Agnostic Distribution Shift. AAAI Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020	J	`jnl`	Stable Prediction with Model Misspecification and Agnostic Distribution Shift. CoRR Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020	J	`jnl`	Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. ACM Trans. Knowl. Discov. Data Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang
2018	A*	`conf`	Causally Regularized Learning with Agnostic Data Selection Bias. ACM Multimedia Zheyan Shen, Peng Cui, Kun Kuang, Bo Li, Peixuan Chen
2018	A*	`conf`	Stable Prediction across Unknown Environments. KDD Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
2018	J	`jnl`	Stable Prediction across Unknown Environments. CoRR Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2018	J	`jnl`	TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game. CoRR Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang
2017	A*	`conf`	Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing. KDD Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang
2017	—	`conf`	How Out-of-Pocket Ratio Influences Readmission: An Analysis Based on Front Sheet of Inpatient Medical Record. ICSH Luo He, Xiaolei Xie, Hongyan Liu, Bo Li
2017	J	`jnl`	On Image Classification: Correlation v.s. Causality. CoRR Zheyan Shen, Peng Cui, Kun Kuang, Bo Li
2017	A*	`conf`	Treatment Effect Estimation with Data-Driven Variable Decomposition. AAAI Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
2015	J	`jnl`	Counterfactual Decomposition of Movie Star Effects with Star Selection. Manag. Sci. Angela Xia Liu, Tridib Mazumdar, Bo Li
2014	A	`conf`	A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social Streams. SDM Ziqi Liu, Qinghua Zheng, Fei Wang, Zhenhua Tian, Bo Li
2014	J	`jnl`	Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation. Comput. Stat. Data Anal. Kaibo Wang, Arthur B. Yeh, Bo Li