research

preprints

  1. Direct metric optimization for imbalanced classification
    Le Peng , Yash Travadi , Chuan He , and 2 more authors
    2024
  2. Regression with high-dimensional targets
    Tiancong Chen , Hengkang Wang , Chuan He , and 2 more authors
    2024
  3. A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization
    Chuan He , Heng Huang , and Zhaosong Lu
    2024
  4. Newton-CG methods for nonconvex unconstrained optimization with Hölder condition
    Chuan He , and Zhaosong Lu
    2024

publications

  1. Federated learning with convex global and local constraints
    Chuan He , Le Peng , and Ju Sun
    Transactions on Machine Learning Research, 2024
  2. Decision rule approaches for pessimistic bilevel linear programs under moment ambiguity with facility location applications
    Akshit Goyal , Yiling Zhang , and Chuan He
    INFORMS Journal on Computing, 2023
  3. A parameter-free conditional gradient method for composite minimization under Hölder condition
    Masaru Ito , Zhaosong Lu , and Chuan He
    Journal of Machine Learning Research, 2023
  4. A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees
    Chuan He , Zhaosong Lu , and Ting Kei Pong
    SIAM Journal on Optimization, 2023
  5. A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees
    Chuan He , and Zhaosong Lu
    SIAM Journal on Optimization, 2023