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

@inproceedings{cvpr2017_adaptive_12045,
  title = {{Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2016_stochastic_56012,
  title = {{Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7163},
}

@inproceedings{neurips2021_differentiable_63388,
  title = {{Differentiable Quality Diversity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27402},
}

@inproceedings{aaai2021_frugal_637,
  title = {{Frugal Optimization for Cost-related Hyperparameters}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10347-frugal-optimization-for-cost-related-hyperparameters/},
}

@inproceedings{icml2019_differentiable_37285,
  title = {{Differentiable Linearized ADMM}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3629},
}

@inproceedings{neurips2020_stochastic_60880,
  title = {{Stochastic Optimization for Performative Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16804},
}

@inproceedings{icml2019_bayesian_37183,
  title = {{Bayesian Optimization Meets Bayesian Optimal Stopping}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3919},
}

@inproceedings{icml2016_preconditioning_35953,
  title = {{Preconditioning Kernel Matrices}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/cutajar16.html},
}

@inproceedings{icml2021_optimizing_39754,
  title = {{Optimizing persistent homology based functions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10265},
}

@inproceedings{neurips2016_dual_55693,
  title = {{Dual Space Gradient Descent for Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7030},
}

@inproceedings{icml2019_fault_37367,
  title = {{Fault Tolerance in Iterative-Convergent Machine Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4193},
}

@inproceedings{neurips2016_stochastic_56015,
  title = {{Stochastic Structured Prediction under Bandit Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7329},
}

@inproceedings{neurips2020_escaping_59796,
  title = {{Escaping the Gravitational Pull of Softmax}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18772},
}

@inproceedings{cvpr2021_gradient_17087,
  title = {{Gradient-Based Algorithms for Machine Teaching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2021_randomized_30759,
  title = {{Randomized Automatic Differentiation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2684},
}

@inproceedings{neurips2019_on_58712,
  title = {{On Making Stochastic Classifiers Deterministic}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13236},
}

@inproceedings{neurips2020_improving_60067,
  title = {{Improving Neural Network Training in Low Dimensional Random Bases}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17455},
}

@inproceedings{aaai2023_safeguarded_4603,
  title = {{Safeguarded Learned Convex Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25950},
}

@inproceedings{icml2017_stingycd_36406,
  title = {{StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/764},
}

@inproceedings{neurips2018_total_57715,
  title = {{Total stochastic gradient algorithms and applications in reinforcement learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11967},
}

@inproceedings{aaai2024_gradtree_6144,
  title = {{GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29345},
}

@inproceedings{aaai2025_locally_9810,
  title = {{Locally Convex Global Loss Network for Decision-Focused Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34884},
}

@inproceedings{neurips2024_bpqp_72447,
  title = {{BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94911},
}

@inproceedings{aaai2025_contextual_8521,
  title = {{Contextual Stochastic Optimization for School Desegregation Policymaking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35020},
}

@inproceedings{aaai2024_limited_6532,
  title = {{Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28955},
}

@inproceedings{icml2024_differentiability_45121,
  title = {{Differentiability and Optimization of Multiparameter Persistent Homology}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33331},
}

@inproceedings{neurips2024_an_70641,
  title = {{An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96481},
}

@inproceedings{neurips2024_how_70417,
  title = {{How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96688},
}

@inproceedings{neurips2024_parameter_72229,
  title = {{Parameter-free Clipped Gradient Descent Meets Polyak}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95113},
}

@inproceedings{neurips2024_soft_72654,
  title = {{Soft ascent-descent as a stable and flexible alternative to flooding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94730},
}

@inproceedings{neurips2024_stochastic_73751,
  title = {{Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93750},
}

@inproceedings{neurips2024_newton_74371,
  title = {{Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93193},
}

@inproceedings{iclr2025_optimization_81055,
  title = {{Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30713},
}

@inproceedings{neurips2026_jacobian_90557,
  title = {{Jacobian Descent for Multi-Objective Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154209},
}

@inproceedings{aaai2025_learning_9725,
  title = {{Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33943},
}

@inproceedings{neurips2024_an_71319,
  title = {{An effective framework for estimating individualized treatment rules}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95928},
}

@inproceedings{neurips2024_how_71757,
  title = {{How to Boost Any Loss Function}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95532},
}

@inproceedings{neurips2024_nonparametric_72492,
  title = {{Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94871},
}

@inproceedings{neurips2024_diffeomorphic_73311,
  title = {{Diffeomorphic interpolation for efficient persistence-based topological optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94133},
}

@inproceedings{neurips2025_a_77144,
  title = {{A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QvsDTpf4yF},
}