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Fingerprint Dive into the research topics where Zhaoran Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Global optimization Engineering & Materials Science
High-dimensional Mathematics
Convex optimization Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Principal component analysis Engineering & Materials Science
Tensors Engineering & Materials Science
Factorization Engineering & Materials Science
Maximum likelihood Engineering & Materials Science

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Grants 2019 2022

Learning systems
Operations research
Unsupervised learning
Engineering research
Electrical engineering

Research Output 2012 2019

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 conferencePaper

Global optimization
learning
Temperature
divergence
exploitation

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 proceedingConference contribution

Behavioral research
Reinforcement learning
Markov processes
Tensors
Decomposition
1 Citation (Scopus)

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 journalArticle

Phase Retrieval
Link Function
Model Misspecification
Optimization Theory
Optimization

Off-policy evaluation and learning from logged bandit feedback: Error reduction via surrogate policy

Xie, Y., Liu, Q., Zhou, Y., Liu, B., Wang, Z. & Peng, J., Jan 1 2019.

Research output: Contribution to conferencePaper

Online systems
Inverse problems
Mean square error
Maximum likelihood
Feedback

Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization

Li, X., Lu, J., Arora, R., Haupt, J., Liu, H., Wang, Z. & Zhao, T., Jun 1 2019, In : IEEE Transactions on Information Theory. 65, 6, p. 3489-3514 26 p., 8675509.

Research output: Contribution to journalArticle

Global optimization
Factorization
neural network
Learning systems
guarantee