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  • Element Learning: A Systematic Approach of Accelerating Finite Element-Type Methods via Machine Learning, with Applications to Radiative Transfer

    Shukai Du, Samuel N. Stechmann
    2025-11-20
    1362 62 Pages:1-34
  • Stochastic Variance Reduced Gradient for Tensor Recovery

    Li Li, Chen Xu, Jian Lu, Ningning Han, Lixin Shen
    2025-12-05
    32 14
  • Tensor Neural Network and Its Numerical Integration

    Yifan Wang, Hehu Xie, Pengzhan Jin
    2024-11-13
    14571 1206 Pages:1714-1742
  • A Symmetric Primal-Dual Algorithmic Framework for Saddle Point Problems

    Hongjin He, Kai Wang, Jintao Yu
    2025-11-19
    49 54
  • An Accelerated Stochastic Trust Region Method for Stochastic Optimization

    Rulei Qi, Dan Xue, Jing Li, Yujia Zhai
    2025-09-28
    4296 330 Pages:1169-1193
  • Deep ReLU Networks Overcome the Curse of Dimensionality for Generalized Bandlimited Functions

    Hadrien Montanelli, Haizhao Yang, Qiang Du
    2021-11-19
    54972 4297 Pages:801-815
  • Semi-Proximal Point Method for Nonsmooth Convex-Concave Minimax Optimization

    Yuhong Dai, Jiani Wang, Liwei Zhang
    2024-04-08
    19330 1884 Pages:617-637
  • Descent Direction Stochastic Approximation Algorithm with Adaptive Step Sizes

    Zorana Lužanin, Irena Stojkovska, Milena Kresoja
    2018-08-23
    41205 5330 Pages:76-94
1 - 8 of 8 items
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