Projects per year
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Dive into the research topics where Mengdi Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Policy Optimization for ReinforcementLearning Beyond Cumulative Rewards
4/1/21 → 3/31/24
Project: Research project
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Collaborative Research: Statistical Optimization for Barcoding and Decoding Single-Cell Dynamics via CRISPR Gene Editing
NSF - National Science Foundation
8/1/20 → 7/31/24
Project: Research project
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Stochastic Optimization and Learning for Planning in Autonomous Systems
Powell, W. B. & Wang, M.
Air Force Office of Scientific Research
7/1/19 → 6/30/22
Project: Research project
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CAREER: Stochastic Nested Composition Optimization: Theory and Algorithms
NSF - National Science Foundation
2/1/17 → 1/31/23
Project: Research project
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Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Chen, Y., Zhang, X., Zhang, K., Wang, M. & Zhu, X., 2023, In: Proceedings of Machine Learning Research. 206, p. 3230-3269 40 p.Research output: Contribution to journal › Conference article › peer-review
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Integrative analysis of functional genomic screening and clinical data identifies a protective role for spironolactone in severe COVID-19
Cousins, H. C., Kline, A. S., Wang, C., Qu, Y., Zengel, J., Carette, J., Wang, M., Altman, R. B., Luo, Y. & Cong, L., Jul 24 2023, In: Cell Reports Methods. 3, 7, 100503.Research output: Contribution to journal › Article › peer-review
Open Access -
PRIMAL-DUAL FIRST-ORDER METHODS FOR AFFINELY CONSTRAINED MULTI-BLOCK SADDLE POINT PROBLEMS
Zhang, J., Wang, M., Hong, M. & Zhang, S., 2023, In: SIAM Journal on Optimization. 33, 2, p. 1035-1060 26 p.Research output: Contribution to journal › Article › peer-review
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Variance reduced value iteration and faster algorithms for solving Markov decision processes
Sidford, A., Wang, M., Wu, X. & Ye, Y., Aug 2023, In: Naval Research Logistics. 70, 5, p. 423-442 20 p.Research output: Contribution to journal › Article › peer-review
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Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
Yuan, H., Ni, C., Wang, H., Zhang, X., Cong, L., Szepesvári, C. & Wang, M., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution