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Zhaoran Wang

  • 348 Citations
20122020

Research output per year

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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

Collaborative Research: High-Dimensional Decision Making and Inference with Applications to Personalized Medicine

Wang, Z.

National Science Foundation

6/15/20 → 5/31/23

Project: Research project

    • HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning .

    Auerbach, E. J., Berry, R. A., Canay, I. A., Guo, D., Hartline, J. D., Horowitz, J. L., Makarychev, K., Vijayaraghavan, A. & Wang, Z.

    National Science Foundation

    9/15/19 → 8/31/22

    Project: Research project

    • Collaborative Research: CIF: Small: A Unified Framework of Distributional Optimization via Variational Transport

    Wang, Z.

    National Science Foundation

    10/1/20 → 9/30/23

    Project: Research project

    • Research Output

    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

    • 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

    • High-dimensional Varying Index Coefficient Models via Stein’s Identity

    Na, S., Yang, Z., Wang, Z. & Kolar, M., Oct 1 2019, In : Journal of Machine Learning Research. 20

    Research output: Contribution to journal › Article

    • Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition

    Huang, K., Yang, Z., Wang, Z. & Hong, M., Jun 2019, 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 295-299 5 p. 8755551. (2019 IEEE Data Science Workshop, DSW 2019 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • Misspecified nonconvex statistical optimization for sparse phase retrieval

    Yang, Z., Yang, L. F., Fang, E. X., Zhao, T., Wang, Z. & Neykov, M., Jul 1 2019, In : Mathematical Programming. 176, 1-2, p. 545-571 27 p.

    Research output: Contribution to journal › Article

    • 3 Scopus citations