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  • Stochastic Operator Network: A Stochastic Maximum Principle Based Approach to Operator Learning

    Ryan Bausback, Jingqiao Tang, Lu Lu, Feng Bao, Phuoc-Toan Huynh
    2026-01-28
    109 46
  • Convergence of Stochastic Gradient Descent Schemes for Łojasiewicz-Landscapes

    Steffen Dereich, Sebastian Kassing
    2024-09-21
    20193 2327 Pages:245-281 Open-access
  • A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization with Non-Isolated Local Minima

    Taehee Ko, Xiantao Li
    2023-06-06
    26266 2620 Pages:138-160 Open-access
  • Convergence of Stochastic Gradient Descent under a Local Łojasiewicz Condition for Deep Neural Networks

    Jing An, Jianfeng Lu
    2025-06-03
    8565 936 Pages:89-107 Open-access
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