% Key papers for Stochastic variance reduction (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2016_stochastic_35993,
  title = {{Stochastic Variance Reduction for Nonconvex Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/reddi16.html},
}

@inproceedings{neurips2017_variance_56763,
  title = {{Variance-based Regularization with Convex Objectives}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9082},
}

@inproceedings{neurips2018_zeroth_57786,
  title = {{Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11372},
}

@inproceedings{icml2017_sarah_36378,
  title = {{SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/605},
}

@inproceedings{neurips2016_riemannian_55966,
  title = {{Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6992},
}

@inproceedings{neurips2018_stochastic_57655,
  title = {{Stochastic Nested Variance Reduction for Nonconvex Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11390},
}

@inproceedings{neurips2019_spiderboost_59007,
  title = {{SpiderBoost and Momentum: Faster Variance Reduction Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13435},
}

@inproceedings{icml2018_a_36480,
  title = {{A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2016},
}

@inproceedings{neurips2019_reducing_58889,
  title = {{Reducing Noise in GAN Training with Variance Reduced Extragradient}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13278},
}

@inproceedings{aaai2017_asynchronous_104563,
  title = {{Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10940},
}

@inproceedings{neurips2018_sega_57590,
  title = {{SEGA: Variance Reduction via Gradient Sketching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11220},
}

@inproceedings{icml2016_stochastic_35992,
  title = {{Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/lid16.html},
}

@inproceedings{aaai2017_accelerated_104466,
  title = {{Accelerated Variance Reduced Stochastic ADMM}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10843},
}

@inproceedings{neurips2016_lazysvd_55809,
  title = {{LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7160},
}

@inproceedings{neurips2019_momentum_58623,
  title = {{Momentum-Based Variance Reduction in Non-Convex SGD}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14423},
}

@inproceedings{neurips2020_random_60664,
  title = {{Random Reshuffling: Simple Analysis with Vast Improvements}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18403},
}

@inproceedings{icml2018_on_36895,
  title = {{On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2094},
}

@inproceedings{icml2018_riemannian_36963,
  title = {{Riemannian Stochastic Recursive Gradient Algorithm}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://proceedings.mlr.press/v80/kasai18a.html},
}

@inproceedings{icml2019_nonconvex_37582,
  title = {{Nonconvex Variance Reduced Optimization with Arbitrary Sampling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3831},
}

@inproceedings{icml2017_gradient_36210,
  title = {{Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/578},
}

@inproceedings{aaai2024_faster_5976,
  title = {{Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29300},
}

@inproceedings{neurips2024_universality_74122,
  title = {{Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93414},
}

@inproceedings{neurips2024_adaptive_74241,
  title = {{Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93314},
}

@inproceedings{iclr2024_distributionally_34503,
  title = {{Distributionally Robust Optimization with Bias and Variance Reduction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18571},
}

@inproceedings{neurips2024_drago_74308,
  title = {{Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93250},
}

@inproceedings{icml2024_non_43329,
  title = {{Non-convex Stochastic Composite Optimization with Polyak Momentum}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35123},
}

@inproceedings{icml2024_double_44931,
  title = {{Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33521},
}

@inproceedings{icml2026_a_52669,
  title = {{A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Y37XC7b9Xl},
}

@inproceedings{iclr2025_a_83811,
  title = {{A Coefficient Makes SVRG Effective}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28009},
}

@inproceedings{iclr2025_revisiting_84131,
  title = {{Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27697},
}

@inproceedings{neurips2026_direct_92463,
  title = {{Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153100},
}

@inproceedings{icml2025_serena_46317,
  title = {{SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46244},
}

@inproceedings{icml2025_variance_49045,
  title = {{Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43579},
}