Bo Li

According to our database, Bo Li authored at least 37 papers between 2014 and 2023.

Collaborative distances:

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

2023

Distributionally Robust Learning With Stable Adversarial Training.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li

IEEE Trans. Knowl. Data Eng., November, 2023

Stable Prediction With Leveraging Seed Variable.

Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li

IEEE Trans. Knowl. Data Eng., June, 2023

Learning Decomposed Representations for Treatment Effect Estimation.

Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu

IEEE Trans. Knowl. Data Eng., May, 2023

Differentiated matching for individual and average treatment effect estimation.

Zhao Ziyu, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu

Data Min. Knowl. Discov., 2023

Stable Estimation of Heterogeneous Treatment Effects.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu

Proceedings of the International Conference on Machine Learning, 2023

Measure the Predictive Heterogeneity.

Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Data-Driven Variable Decomposition for Treatment Effect Estimation.

Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang

IEEE Trans. Knowl. Data Eng., 2022

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.

Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin

ACM Trans. Knowl. Discov. Data, 2022

Confounder Balancing for Instrumental Variable Regression with Latent Variable.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu

CoRR, 2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

CoRR, 2022

Distributionally Invariant Learning: Rationalization and Practical Algorithms.

Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui

CoRR, 2022

Regulatory Instruments for Fair Personalized Pricing.

Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Product Ranking for Revenue Maximization with Multiple Purchases.

Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Optimization with Data Geometry.

Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Instrumental Variable Regression with Confounder Balancing.

Anpeng Wu, Kun Kuang, Bo Li, Fei Wu

Proceedings of the International Conference on Machine Learning, 2022

2021

Continuous treatment effect estimation via generative adversarial de-confounding.

Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu

Data Min. Knowl. Discov., 2021

Kernelized Heterogeneous Risk Minimization.

Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Risk Minimization.

Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

Proceedings of the 38th International Conference on Machine Learning, 2021

Stable Adversarial Learning under Distributional Shifts.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Treatment Effect Estimation via Differentiated Confounder Balancing and Regression.

Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang

ACM Trans. Knowl. Discov. Data, 2020

Learning Decomposed Representation for Counterfactual Inference.

Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu

CoRR, 2020

Stable Prediction via Leveraging Seed Variable.

Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu

CoRR, 2020

Invariant Adversarial Learning for Distributional Robustness.

Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

CoRR, 2020

Counterfactual Prediction for Bundle Treatment.

Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Algorithmic Decision Making with Conditional Fairness.

Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Stable Learning via Differentiated Variable Decorrelation.

Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift.

Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game.

Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang

CoRR, 2018

Causally Regularized Learning with Agnostic Data Selection Bias.

Zheyan Shen, Peng Cui, Kun Kuang, Bo Li, Peixuan Chen

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Stable Prediction across Unknown Environments.

Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

On Image Classification: Correlation v.s. Causality.

Zheyan Shen, Peng Cui, Kun Kuang, Bo Li

CoRR, 2017

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing.

Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

How Out-of-Pocket Ratio Influences Readmission: An Analysis Based on Front Sheet of Inpatient Medical Record.

Luo He, Xiaolei Xie, Hongyan Liu, Bo Li

Proceedings of the Smart Health - International Conference, 2017

Treatment Effect Estimation with Data-Driven Variable Decomposition.

Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Counterfactual Decomposition of Movie Star Effects with Star Selection.

Angela Xia Liu, Tridib Mazumdar, Bo Li

Manag. Sci., 2015

2014

Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation.

Kaibo Wang, Arthur B. Yeh, Bo Li

Comput. Stat. Data Anal., 2014