Publications

* indicates that authors are listed alphabetically, as is standard in theoretical computer science. For other publications, please see my DBLP page.

2026

  1. Submitted
    On the Smoothed Complexity of Auto-Bidding Auctions
    Li Chen*, Jamie Morgenstern*, and Yuanyuan Yang*
    2026
    Under Submission
  2. ICLR 2026
    T-TAMER: Provably Taming Trade-offs in ML Serving
    Yuanyuan Yang, Ruimin Zhang, Jamie Morgenstern, and Haifeng Xu
    In International Conference on Learning Representations (ICLR), 2026

2025

  1. ICLR 2025
    Private Mechanism Design via Quantile Estimation
    Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, and Jamie Morgenstern
    In International Conference on Learning Representations (ICLR), 2025

2024

  1. ALT 2024
    Dueling Optimization With a Monotone Adversary
    Avrim Blum*, Meghal Gupta*, Gene Li*, Naren Sarayu Manoj*, Aadirupa Saha*, and Yuanyuan Yang*
    In International Conference on Algorithmic Learning Theory (ALT), 2024

2023

  1. ICML 2023
    Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
    Zhao Song*, Xin Yang*, Yuanyuan Yang*, and Lichen Zhang*
    In International Conference on Machine Learning (ICML), 2023