Bo Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 45

Top Topics

Risk Minimization

Convertible Bonds

Target Variable

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. CoRR (2024)
Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui
Enhancing Distributional Stability among Sub-populations. AISTATS (2024)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning With Stable Adversarial Training. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
Stable Estimation of Heterogeneous Treatment Effects. ICML (2023)
Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
Measure the Predictive Heterogeneity. ICLR (2023)
Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu
Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Zhao Ziyu, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu
Differentiated matching for individual and average treatment effect estimation. Data Min. Knowl. Discov. 37 (1) (2023)
Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui
Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR (2022)
Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
Product Ranking for Revenue Maximization with Multiple Purchases. NeurIPS (2022)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
Confounder Balancing for Instrumental Variable Regression with Latent Variable. CoRR (2022)
Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
Product Ranking for Revenue Maximization with Multiple Purchases. CoRR (2022)
Anpeng Wu, Kun Kuang, Bo Li, Fei Wu
Instrumental Variable Regression with Confounder Balancing. ICML (2022)
Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang
Data-Driven Variable Decomposition for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
Distributionally Robust Optimization with Data Geometry. NeurIPS (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. WWW (2022)
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. CoRR (2022)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning with Stable Adversarial Training. CoRR (2021)
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Heterogeneous Risk Minimization. ICML (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Kernelized Heterogeneous Risk Minimization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Heterogeneous Risk Minimization. CoRR (2021)
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Kernelized Heterogeneous Risk Minimization. NeurIPS (2021)
Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu
Continuous treatment effect estimation via generative adversarial de-confounding. Data Min. Knowl. Discov. 35 (6) (2021)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
Stable Adversarial Learning under Distributional Shifts. AAAI (2021)
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
Algorithmic Decision Making with Conditional Fairness. CoRR (2020)
Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu
Continuous Treatment Effect Estimation via Generative Adversarial De-confounding. CD@KDD (2020)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. CoRR (2020)
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. ACM Trans. Knowl. Discov. Data 14 (1) (2020)
Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen
Stable Learning via Differentiated Variable Decorrelation. KDD (2020)
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
Algorithmic Decision Making with Conditional Fairness. KDD (2020)
Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He
Counterfactual Prediction for Bundle Treatment. NeurIPS (2020)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
Invariant Adversarial Learning for Distributional Robustness. CoRR (2020)
Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu
Stable Prediction via Leveraging Seed Variable. CoRR (2020)
Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu
Learning Decomposed Representation for Counterfactual Inference. CoRR (2020)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. AAAI (2020)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction across Unknown Environments. CoRR (2018)
Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
Stable Prediction across Unknown Environments. KDD (2018)
Zheyan Shen, Peng Cui, Kun Kuang, Bo Li, Peixuan Chen
Causally Regularized Learning with Agnostic Data Selection Bias. ACM Multimedia (2018)
Luo He, Xiaolei Xie, Hongyan Liu, Bo Li
How Out-of-Pocket Ratio Influences Readmission: An Analysis Based on Front Sheet of Inpatient Medical Record. ICSH (2017)
Zheyan Shen, Peng Cui, Kun Kuang, Bo Li
On Image Classification: Correlation v.s. Causality. CoRR (2017)
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
Treatment Effect Estimation with Data-Driven Variable Decomposition. AAAI (2017)
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang
Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing. KDD (2017)
Angela Xia Liu, Tridib Mazumdar, Bo Li
Counterfactual Decomposition of Movie Star Effects with Star Selection. Manag. Sci. 61 (7) (2015)
Kaibo Wang, Arthur B. Yeh, Bo Li
Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation. Comput. Stat. Data Anal. 78 (2014)