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• Mini-Batch Stochastic Conjugate Gradient Algorithms with Minimal Variance

  Caixia Kou, Feifei Gao, Yu-Hong Dai

  2025-09-28

  5140 603 Pages:1045-1062

• Parareal Algorithms for Stochastic Maxwell Equations with the Damping Term Driven by Additive Noise

  Liying Zhang, Qi Zhang

  2025-11-19

  166 97

• Modified Stochastic Extragradient Methods for Stochastic Variational Inequality

  Ling Zhang, Lingling Xu

  2024-01-16

  25780 2246 Pages:390-414

• Stochastic Variance Reduced Gradient for Tensor Recovery

  Li Li, Chen Xu, Jian Lu, Ningning Han, Lixin Shen

  2025-12-05

  250 178

• Stochastic Trust-Region Methods with Trust-Region Radius Depending on Probabilistic Models

  Xiaoyu Wang, Yaxiang Yuan

  2022-10-06

  50213 3480 Pages:294-334

• Superlinearly Convergent Algorithms for Stochastic Time-Fractional Equations Driven by White Noise

  Zhen Song, Minghua Chen, Jiankang Shi

  2025-09-01

  539 32 Pages:819–842

• Parareal Algorithms Applied to Stochastic Differential Equations with Conserved Quantities

  Liying Zhang, Weien Zhou, Lihai Ji

  2018-08-23

  42372 4754 Pages:48-60

• Descent Direction Stochastic Approximation Algorithm with Adaptive Step Sizes

  Zorana Lužanin, Irena Stojkovska, Milena Kresoja

  2018-08-23

  41453 5433 Pages:76-94

• ExtraPush for Convex Smooth Decentralized Optimization over Directed Networks

  Jinshan Zeng, Wotao Yin

  2019-02-12

  39754 4709 Pages:383-396 Open-access

• Parallel Stochastic Newton Method

  Mojmír Mutný, Peter Richtárik

  2018-09-17

  40418 2935 Pages:404-425

• High Oder Probabilistic Numerical Methods for Forward Backward Stochastic Differential Equations

  Qiang Han, Yurong Liu

  2026-02-24

  90 135

• Convergence Speed and Asymptotic Distribution of a Parallel Robbins-Monro Method

  Yun-Min Zhu & Gang Yin

  1990-08-01

  34048 3684 Pages:45-54