Double Matching Under Complementary Preferences Y. Li, G. Cheng, X. Dai.
Rate-Optimal Contextual Online Matching Bandit Y. Li, C. Wang, G. Cheng, W. Sun.
Graph Federated Learning with Hidden Representation Sharing S. Wu, M. Zhang, Y. Li, C. Yang, P. Li.
Discussion of ‘‘Estimating Means of Bounded Random Variables by Betting’’ by Waudby-Smith and Ramdas J. Li, Y. Li, X. Dai. Journal of the Royal Statistical Society: Series B (Statistical Methodology), to appear, (JRSSB).
Residual Bootstrap Exploration for Stochastic Linear Bandit S. Wu, C. Wang, Y. Li, G. Cheng. Proceedings of the 38th International Conference on Uncertainty in Artificial Intelligence, (UAI 2022).
Debiasing Neural Retrieval via In-batch Balancing Regularization Y. Li, X. Wei, Z. Wang, S. Wang, P. Bhatia, X. Ma, and A. Arnold. Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing, (NACCL Workship 2022).
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning P. Ramprasad, Y. Li, Z. Yang, Z. Wang, W. Sun., and G. Cheng. Journal of the American Statistical Association, (JASA), 2022.
Peel learning for pathway-related outcome prediction Y. Li, F. Wang, M. Yang, F. Yang, E. Cantu, H. Rao, and R. Feng. Bioinformatics.
Online Forgetting Process for Linear Regression Models Y. Li, C. Wang, and G. Cheng. Proceedings of the 24nd International Conference on Artificial Intelligence and Statistics, (AISTATS 2021).
A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components Y. Li, Q. Ma, and S. K. Ghosh. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020, (KDD 2020)
Interactive Attention Networks for Semantic Text Matching S. Zhao, Y. Huang, C. Su, Y. Li and F. Wang. 2020 IEEE International Conference on Data Mining, (ICDM 2020)