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Mingrui Liu

12 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

ICLR ×3ICML ×3NeurIPS ×3AAAI ×1COLT ×1ICRA ×1

Frequent coauthors

Michael Crawshaw
×6
Xiaochuan Gong
×4
Jie Hao
×4
Blake Woodworth
×2
Xinyang Tang
×1
Yeqiang Qian
×1
Jiming Chen
×1
Liang Li
×1
Yajie Bao
×1

Papers

  1. Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension
    COLT 2026 ·
    Michael Crawshaw
    , Mingrui Liu
  2. Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
    NeurIPS 2025 ·
    Xiaochuan Gong
    ,
    Jie Hao
    , Mingrui Liu
  3. Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness
    ICLR 2025 ·
    Michael Crawshaw
    , Mingrui Liu
  4. Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability
    ICML 2025 ·
    Michael Crawshaw
    ,
    Blake Woodworth
    , Mingrui Liu
  5. Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
    ICLR 2025 ·
    Michael Crawshaw
    ,
    Blake Woodworth
    , Mingrui Liu
  6. A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
    ICML 2024 ·
    Xiaochuan Gong
    ,
    Jie Hao
    , Mingrui Liu
  7. Algorithmic Foundation of Federated Learning with Sequential Data
    AAAI 2024 · Mingrui Liu
  8. An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
    NeurIPS 2024 ·
    Xiaochuan Gong
    ,
    Jie Hao
    , Mingrui Liu
  9. Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
    ICLR 2024 ·
    Jie Hao
    ,
    Xiaochuan Gong
    , Mingrui Liu
  10. Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
    NeurIPS 2024 ·
    Michael Crawshaw
    , Mingrui Liu
  11. LESS-Map: Lightweight and Evolving Semantic Map in Parking Lots for Long-term Self-Localization
    ICRA 2024 · Mingrui Liu,
    Xinyang Tang
    ,
    Yeqiang Qian
    ,
    Jiming Chen
    ,
    Liang Li
  12. Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
    ICML 2024 ·
    Yajie Bao
    ,
    Michael Crawshaw
    , Mingrui Liu