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 .
Hartline, J. D., Berry, R. A., Canay, I. A., Vijayaraghavan, A., Wang, Z., Auerbach, E. J., Guo, D., Horowitz, J. L., Khuller, S. & Makarychev, K.
9/15/19 → 8/31/22
Project: Research project
Research Output
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Fairness-Oriented Learning for Optimal Individualized Treatment Rules
Fang, E. X., Wang, Z. & Wang, L., 2022, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review
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Addressing Hindsight Bias in Multigoal Reinforcement Learning
Bai, C., Wang, L., Wang, Y., Wang, Z., Zhao, R., Bai, C. & Liu, P., 2021, (Accepted/In press) In: IEEE Transactions on Cybernetics.Research output: Contribution to journal › Article › peer-review
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Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation
Wang, Y., Huang, C., Wang, Z., Xu, S., Wang, Z. & Zhu, Q., Dec 5 2021, 2021 58th ACM/IEEE Design Automation Conference, DAC 2021. Institute of Electrical and Electronics Engineers Inc., p. 397-402 6 p. (Proceedings - Design Automation Conference; vol. 2021-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Spectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval
Liu, L., Lu, S., Zhao, T. & Wang, Z., 2021, In: IEEE Transactions on Signal Processing. 69, p. 3991-4006 16 p., 9464746.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
Bai, C., Liu, P., Liu, K., Wang, L., Zhao, Y., Han, L. & Wang, Z., 2021, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems.Research output: Contribution to journal › Article › peer-review