Grants per year
Personal profile
Research Interests
Professor Zhaoran’s research is at the interface of statistics and optimization in machine learning. He has specific interests in understanding the tradeoff between statistical accuracy and computational effort as well as establishing provable guarantees for non-convex problems in statistical learning.
Education/Academic qualification
Operations Research and Financial Engineering, PhD, Princeton University
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: CIF: Medium: Learning to Control from Data: from Theory to Practice
Wang, Z. (PD/PI) & Wang, Z. (PD/PI)
10/1/22 → 9/30/26
Project: Research project
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Institute for Data, Econometrics, Algorithms and Learning (IDEAL)
Vijayaraghavan, A. (PD/PI), Vijayaraghavan, A. (PD/PI), Berry, R. A. (Co-PD/PI), Berry, R. A. (Co-PD/PI), Hartline, J. D. (Co-PD/PI), Hartline, J. D. (Co-PD/PI), Khuller, S. (Co-PD/PI), Khuller, S. (Co-PD/PI), Nocedal, J. (Co-PD/PI), Nocedal, J. (Co-PD/PI), Auerbach, E. J. (Other), Auerbach, E. J. (Other), Auffinger, A. (Other), Auffinger, A. (Other), Bugni, F. A. (Other), Bugni, F. A. (Other), Canay, I. A. (Other), Canay, I. A. (Other), Gaudio, J. (Other), Gaudio, J. (Other), Golub, B. (Other), Golub, B. (Other), Guo, D. (Other), Guo, D. (Other), Horowitz, J. L. (Other), Horowitz, J. L. (Other), Hullman, J. R. (Other), Hullman, J. R. (Other), Liang, A. (Other), Liang, A. (Other), Linna Jr., D. W. (Other), Linna Jr., D. W. (Other), Makarychev, K. (Other), Makarychev, K. (Other), Wang, Z. (Other), Wang, Z. (Other), Wei, E. (Other) & Wei, E. (Other)
9/1/22 → 8/31/27
Project: Research project
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Toward an integrative approach to machine learning for traffic management
Nie, Y. (PD/PI) & Wang, Z. (Co-PD/PI)
9/1/22 → 8/31/25
Project: Research project
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CAREER: Principled Deep Reinforcement Learning for Societal Systems
Wang, Z. (PD/PI) & Wang, Z. (PD/PI)
2/1/21 → 1/31/26
Project: Research project
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Collaborative Research: CIF: Small: A Unified Framework of Distributional Optimization via Variational Transport
Wang, Z. (PD/PI)
10/1/20 → 9/30/23
Project: Research project
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Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
Gao, F., Shi, L., Zhang, S., Wang, Z. & Wu, Y., 2024, In: Proceedings of Machine Learning Research. 235, p. 14844-14858 15 p.Research output: Contribution to journal › Conference article › peer-review
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A General Framework for Sequential Decision-Making under Adaptivity Constraints
Xiong, N., Wang, Z. & Yang, Z., 2024, In: Proceedings of Machine Learning Research. 235, p. 54792-54830 39 p.Research output: Contribution to journal › Conference article › peer-review
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Contextual Dynamic Pricing with Strategic Buyers
Liu, P., Yang, Z., Wang, Z. & Sun, W. W., 2024, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review
Open Access -
Dynamic datasets and market environments for financial reinforcement learning
Liu, X. Y., Xia, Z., Yang, H., Gao, J., Zha, D., Zhu, M., Wang, C. D., Wang, Z. & Guo, J., May 2024, In: Machine Learning. 113, 5, p. 2795-2839 45 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
False Correlation Reduction for Offline Reinforcement Learning
Deng, Z., Fu, Z., Wang, L., Yang, Z., Bai, C., Zhou, T., Wang, Z. & Jiang, J., Feb 1 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 2, p. 1199-1211 13 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations
Datasets
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Fairness-Oriented Learning for Optimal Individualized Treatment Rules
Fang, E. X. (Creator), Wang, Z. (Creator) & Wang, L. (Creator), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.17064129.v1, https://tandf.figshare.com/articles/dataset/Fairness-Oriented_Learning_for_Optimal_Individualized_Treatment_Rules/17064129/1
Dataset
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Online Bootstrap Inference For Policy Evaluation In Reinforcement Learning
Ramprasad, P. (Creator), Li, Y. (Creator), Yang, Z. (Creator), Wang, Z. (Creator), Sun, W. W. (Creator) & Cheng, G. (Creator), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.20231503.v1, https://tandf.figshare.com/articles/dataset/Online_Bootstrap_Inference_For_Policy_Evaluation_In_Reinforcement_Learning/20231503/1
Dataset
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Federated Offline Reinforcement Learning
Zhou, D. (Creator), Zhang, Y. (Creator), Sonabend-W, A. (Creator), Wang, Z. (Creator), Lu, J. (Creator) & Cai, T. (Creator), Taylor & Francis, 2024
DOI: 10.6084/m9.figshare.25134317.v2, https://tandf.figshare.com/articles/dataset/Federated_Offline_Reinforcement_Learning/25134317/2
Dataset
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Contextual Dynamic Pricing with Strategic Buyers
Liu, P. (Creator), Yang, Z. (Creator), Wang, Z. (Creator) & Sun, W. W. (Creator), Taylor & Francis, 2024
DOI: 10.6084/m9.figshare.26107764.v1, https://tandf.figshare.com/articles/dataset/Contextual_Dynamic_Pricing_with_Strategic_Buyers/26107764/1
Dataset