Yingdong Lu

Publications

• Stackelberg Coupling of Online Representation Learning and Reinforcement Learning

  • • Fernando Martinez
    • Tao Li
    • et al.
  • 2026
  • ICLR 2026

  Conference paper

• A randomized algorithm for model-based sparse signal recovery

  • • Huiyuan Yu
    • Maggie Cheng
    • et al.
  • 2026
  • Journal of Global Optimization

  Paper

• Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions

  • • Yanna Ding
    • Songtao Lu
    • et al.
  • 2025
  • NeurIPS 2025

  Conference paper

• Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion

  • • Anton Lebedev
    • Winkyung Lee
    • et al.
  • 2025
  • SC 2025

  Workshop paper

• SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics

  • • Fernando Martinez
    • Juntao Chen
    • et al.
  • 2025
  • AAAI 2025

  Workshop paper

• Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information

  • • Juntao Chen
    • Yingdong Lu
  • 2024
  • ISMP 2024

  Invited talk

• On Representations of Mean-Field Variational Inference

  • • Soumyadip Ghosh
    • Yingdong Lu
    • et al.
  • 2023
  • NeurIPS 2023

  Workshop paper

• General Markov Decision Process Framework for Directly Learning Optimal Control Policies

  • • Yingdong Lu
    • Mark Squillante
    • et al.
  • 2023
  • SIAM CT 2023

  Conference paper

• Markov Decision Process Framework for Control-Based Reinforcement Learning

  • • Yingdong Lu
    • Mark Squillante
    • et al.
  • 2023
  • SIGMETRICS 2023

  Workshop paper

• On A Stein Method Based Approximation for A Two-Dimensional Markov Chain

  • • Yingdong Lu
  • 2023
  • Appl. Math.

  Paper