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Mengdi Wang

Former affiliation
  • 214 Citations
  • 8 h-Index
20122020

Research output per year

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Projects

Collaborative Research: Statistical Optimization for Barcoding and Decoding Single-Cell Dynamics via CRISPR Gene Editing

Wang, M.

NSF - National Science Foundation

8/1/20 → 7/31/23

Project: Research project

    • CAREER: Stochastic Nested Composition Optimization: Theory and Algorithms

    Wang, M.

    NSF - National Science Foundation

    2/1/17 → 1/31/22

    Project: Research project

    • Closing the Duality Gap: Decomposition of High-Dimensional Nonconvex Optimization

    Wang, M.

    NSF - National Science Foundation

    9/1/16 → 8/31/19

    Project: Research project

    • Research Output

    • 214 Citations
    • 8 h-Index
    • 17 Article
    • 14 Conference contribution
    • 7 Paper
    • 6 Conference article

    Adaptive low-nonnegative-rank approximation for state aggregation of markov chains

    Duan, Y., Wang, M., Wen, Z. & Yuan, Y., 2020, In : SIAM Journal on Matrix Analysis and Applications. 41, 1, p. 244-278 35 p.

    Research output: Contribution to journal › Article

    • A single timescale stochastic approximation method for nested stochastic optimization

    Ghadimi, S., Ruszczynski, A. & Wang, M., Jan 1 2020, In : SIAM Journal on Optimization. 30, 1, p. 960-979 20 p.

    Research output: Contribution to journal › Article

    • Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient

    Lin, T., Fan, C., Wang, M. & Jordan, M. I., Jul 2020, 2020 American Control Conference, ACC 2020. Institute of Electrical and Electronics Engineers Inc., p. 126-131 6 p. 9147515. (Proceedings of the American Control Conference; vol. 2020-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • Optimizing a portfolio of mean-reverting assets with transaction costs via a feedforward neural network

    Mulvey, J. M., Sun, Y., Wang, M. & Ye, J., Jan 1 2020, (Accepted/In press) In : Quantitative Finance.

    Research output: Contribution to journal › Article

    • Randomized linear programming solves the Markov decision problem in nearly linear (sometimes sublinear) time

    Wang, M., May 2020, In : Mathematics of Operations Research. 45, 2, p. 517-546 30 p.

    Research output: Contribution to journal › Article