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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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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

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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

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. 20

Research output: Contribution to journalArticle

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 proceedingConference 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 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

Maximum likelihood
Feedback
evaluation
learning
Recommender systems