All Publications


  • On Sinkhorn's Algorithm and Choice Modeling OPERATIONS RESEARCH Qu, Z., Galichon, A., Gao, W., Ugander, J. 2025
  • Algorithm 1055: HDSDP: Software for Semidefinite Programming ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE Gao, W., Ge, D., Ye, Y. 2025; 51 (2)

    View details for DOI 10.1145/3721123

    View details for Web of Science ID 001537490000005

  • Gradient Methods with Online Scaling Gao, W., Chu, Y., Ye, Y., Udell, M. edited by Haghtalab, N., Moitra, A. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2025
  • An Enhanced Alternating Direction Method of Multipliers-Based Interior Point Method for Linear and Conic Optimization INFORMS JOURNAL ON COMPUTING Deng, Q., Feng, Q., Gao, W., Ge, D., Jiang, B., Jiang, Y., Liu, J., Liu, T., Xue, C., Ye, Y., Zhang, C. 2024
  • Optimal Diagonal Preconditioning OPERATIONS RESEARCH Qu, Z., Gao, W., Hinder, O., Ye, Y., Zhou, Z. 2024
  • OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models AhmadiTeshnizi, A., Gao, W., Udell, M. edited by Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J., Berkenkamp, F. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2024: 577-596
  • Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization Gao, W., Deng, Q. edited by Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2023
  • Solving Linear Programs with Fast Online Learning Algorithms Gao, W., Ge, D., Sun, C., Ye, Y. edited by Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlett, J. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2023
  • Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization Deng, Q., Gao, W. edited by Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S., Vaughan, J. W. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2021