Yingdong Lu

Publications

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

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

• Polynomial convergence of iterations of certain random operators in Hilbert space

  • • Soumyadip Ghosh
    • Yingdong Lu
    • et al.
  • 2024
  • Journal of Applied Analysis

• On Representations of Mean-Field Variational Inference

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

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

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

• Markov Decision Process Framework for Control-Based Reinforcement Learning

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

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

  • • Yingdong Lu
  • 2023
  • Appl. Math.

• Optimal Control in Fluid Models of Stochastic Networks with Constraints

  • • Yingdong Lu
    • Mark Squillante
    • et al.
  • 2020
  • INFORMS 2020

• A General Family of Robust Stochastic Operators for Reinforcement Learning

  • • Yingdong Lu
    • Mark Squillante
    • et al.
  • 2019
  • arXiv

• Heuristic policies for stochastic knapsack problem with time-varying random demand

  • • Yingdong Lu
  • 2018
  • Appl Stochastic Models Bus Indus

• Bounded-Velocity Stochastic Control for Dynamic Resource Allocation

  • • Xuefeng Gao
    • Yingdong Lu
    • et al.
  • 2018
  • arXiv