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Lingxiao Wang

20162024

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  • Challenges of COVID-19 Case Forecasting in the US, 2020–2021

    Lopez, V. K., Cramer, E. Y., Pagano, R., Drake, J. M., O’Dea, E. B., Adee, M., Ayer, T., Chhatwal, J., Dalgic, O. O., Ladd, M. A., Linas, B. P., Mueller, P. P., Xiao, J., Bracher, J., Castro Rivadeneira, A. J., Gerding, A., Gneiting, T., Huang, Y., Jayawardena, D. & Kanji, A. H. & 89 others, Le, K., Mühlemann, A., Niemi, J., Ray, E. L., Stark, A., Wang, Y., Wattanachit, N., Zorn, M. W., Pei, S., Shaman, J., Yamana, T. K., Tarasewicz, S. R., Wilson, D. J., Baccam, S., Gurung, H., Stage, S., Suchoski, B., Gao, L., Gu, Z., Kim, M., Li, X., Wang, G., Wang, L., Wang, Y., Yu, S., Gardner, L., Jindal, S., Marshall, M., Nixon, K., Dent, J., Hill, A. L., Kaminsky, J., Lee, E. C., Lemaitre, J. C., Lessler, J., Smith, C. P., Truelove, S., Kinsey, M., Mullany, L. C., Rainwater-Lovett, K., Shin, L., Tallaksen, K., Wilson, S., Karlen, D., Castro, L., Fairchild, G., Michaud, I., Osthus, D., Bian, J., Cao, W., Gao, Z., Ferres, J. L., Li, C., Liu, T. Y., Xie, X., Zhang, S., Zheng, S., Chinazzi, M., Davis, J. T., Mu, K., y Piontti, A. P., Vespignani, A., Xiong, X., Walraven, R., Chen, J., Gu, Q., Wang, L., Xu, P., Zhang, W., Zou, D., Gibson, G. C., Sheldon, D., Srivastava, A., Adiga, A., Hurt, B., Kaur, G., Lewis, B., Marathe, M., Peddireddy, A. S., Porebski, P., Venkatramanan, S., Wang, L., Prasad, P. V., Walker, J. W., Webber, A. E., Slayton, R. B., Biggerstaff, M., Reich, N. G. & Johansson, M. A., May 2024, In: PLoS computational biology. 20, 5 May, e1011200.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    24   Link opens in a new tab Scopus citations

  • The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication

    Patel, K. K., Glasgow, M., Zindari, A., Wang, L., Stich, S. U., Cheng, Z., Joshi, N. & Srebro, N., 2024, In: Proceedings of Machine Learning Research. 247, p. 4115-4157 43 p.

    Research output: Contribution to journal › Conference article › peer-review

    7   Link opens in a new tab Scopus citations

  • Differentially Private Matrix Completion through Low-rank Matrix Factorization

    Wang, L., Zhao, B. & Kolar, M., 2023, In: Proceedings of Machine Learning Research. 206, p. 5731-5748 18 p.

    Research output: Contribution to journal › Conference article › peer-review

  • Efficient Privacy-Preserving Stochastic Nonconvex Optimization

    Wang, L., Jayaraman, B., Evans, D. & Gu, Q., 2023, In: Proceedings of Machine Learning Research. 216, p. 2203-2213 11 p.

    Research output: Contribution to journal › Conference article › peer-review

    13   Link opens in a new tab Scopus citations

  • Federated Online and Bandit Convex Optimization

    Patel, K. K., Wang, L., Saha, A. & Srebro, N., 2023, In: Proceedings of Machine Learning Research. 202, p. 27439-27460 22 p.

    Research output: Contribution to journal › Conference article › peer-review

    8   Link opens in a new tab Scopus citations
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