Grants per year
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.
- 1 Similar Profiles
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2019 2022
- 1 Active
HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning .
Hartline, J. D., Auerbach, E. J., Berry, R. A., Canay, I. A., Guo, D., Horowitz, J. L., Makarychev, K., Vijayaraghavan, A. & Wang, Z.
9/15/19 → 8/31/22
Project: Research project
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 conference › Paper
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 proceeding › Conference 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 journal › Article
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 conference › Paper
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 journal › Article
Global optimization
Factorization
neural network
Learning systems
guarantee