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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Grants
- 4 Active
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CAREER: Principled Deep Reinforcement Learning for Societal Systems
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
10/1/20 → 9/30/23
Project: Research project
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Collaborative Research: High-Dimensional Decision Making and Inference with Applications to Personalized Medicine
6/15/20 → 5/31/23
Project: Research project
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HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning .
Berry, R. A., Horowitz, J. L., Guo, D., Hartline, J. D., Canay, I. A., Vijayaraghavan, A., Makarychev, K., Wang, Z., Khuller, S. & Auerbach, E. J.
9/15/19 → 8/31/22
Project: Research project
Research Output
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Agnostic estimation for misspecified phase retrieval models
Neykov, M., Wang, Z. & Liu, H., Jun 2020, In: Journal of Machine Learning Research. 21, p. 1-39 39 p.Research output: Contribution to journal › Article › peer-review
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Tensor Graphical Model: Non-Convex Optimization and Statistical Inference
Lyu, X., Sun, W. W., Wang, Z., Liu, H., Yang, J. & Cheng, G., Aug 1 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 8, p. 2024-2037 14 p., 8674569.Research output: Contribution to journal › Article › peer-review
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Accelerating nonconvex learning via replica exchange Langevin diffusion
Chen, Y., Chen, J., Dong, J., Peng, J. & Wang, Z., Jan 1 2019.Research output: Contribution to conference › Paper › peer-review
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A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
Lin, Y., Zhang, K., Yang, Z., Wang, Z., Basar, T., Sandhu, R. & Liu, J., Dec 2019, 2019 IEEE 58th Conference on Decision and Control, CDC 2019. Institute of Electrical and Electronics Engineers Inc., p. 5562-5567 6 p. 9029257. (Proceedings of the IEEE Conference on Decision and Control; vol. 2019-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
Convergent policy optimization for safe reinforcement learning
Yu, M., Yang, Z., Kolar, M. & Wang, Z., 2019, In: Advances in Neural Information Processing Systems. 32Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations