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
High-dimensional
Mathematics
Convex optimization
Engineering & Materials Science
Global optimization
Engineering & Materials Science
Principal component analysis
Engineering & Materials Science
Parameter estimation
Engineering & Materials Science
Factorization
Engineering & Materials Science
Tensors
Engineering & Materials Science
Link Function
Mathematics
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
learning
Temperature
divergence
exploitation
regime
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. 20Research output: Contribution to journal › Article
High-dimensional
Link Function
Coefficient
Parameter estimation
Estimate
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
Decomposition
Tensors
Trajectories
3
Citations
(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
Maximum likelihood
Feedback
evaluation
learning
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