Publications
- J. Li, J. Wang, R. K. W. Wong, and K. C. G. Chan. (2024+) “A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness”. Advances in Neural Information Processing Systems (NeurIPS).
- NeurIPS Spotlight.
J. Wang, Z. Qi, and R. K. W. Wong. (2024) “A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models”. International Conference on Machine Learning (ICML).
Y. Hojun, J. Wang, R. K. W. Wong, C. Schumacher, R. Saravanand, and M. Jun. (2024) “Prediction of Tropical Pacific Rain Rates with Over-parameterized Neural Networks.” Artificial Intelligence for the Earth Systems.
B. Alexander L., C. Jonson, W. Miller, and J. Wang. (2024) “Attitudinal schemas and academy training receptivity: a quasi-experimental study of prison officers.” Journal of Experimental Criminology.
X. Gao, J. Wang, G. Hu, and J. Sun. (2024). “Functional Causal Inference with Time-to-Event Data.” Statistics in Biosciences.
J. Wang, Z. Qi, and R. K. W. Wong. (2023) “Projected State-action Balancing Weights for Offline Reinforcement Learning”. The Annals of Statistics.
- J. Wang, R. K. W. Wong and X. Zhang. (2022). “Low-rank Covariance Function Estimation for Multidimensional Functional Data”. Journal of the American Statistical Association.
- ASA Section on Nonparametric Statistics Student Paper Award (2020)
J. Wang, R. K. W. Wong, S. Yang and K. C. G. Chan. (2022). “Estimation of Partially Conditional Average Treatment Effect by Double Kernel-covariate Balancing”. Electronic Journal of Statistics.
J. Wang, R. K. W. Wong, M. Jun, C. Schumacher, R. Saravanan, and C. Sun.(2021) “Statistical and Machine Learning Methods Applied to the Prediction of Different Tropical Rainfall Types”. Environmental Research Communications.
J. Wang, R. K. W. Wong, X. Mao and K. C. G. Chan. (2021). “Matrix Completion with Model-free Weighting”. International Conference on Machine Learning (ICML).