% Key papers for Acceleration and Nesterov dynamics (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2019_riemannian_29120,
  title = {{Riemannian Adaptive Optimization Methods}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/987},
}

@inproceedings{icml2016_even_35825,
  title = {{Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/allen-zhuc16.html},
}

@inproceedings{neurips2017_gradient_56347,
  title = {{Gradient Descent Can Take Exponential Time to Escape Saddle Points}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8900},
}

@inproceedings{neurips2019_understanding_59138,
  title = {{Understanding the Role of Momentum in Stochastic Gradient Methods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13997},
}

@inproceedings{neurips2018_direct_57048,
  title = {{Direct Runge-Kutta Discretization Achieves Acceleration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11388},
}

@inproceedings{neurips2019_acceleration_57861,
  title = {{Acceleration via Symplectic Discretization of High-Resolution Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13700},
}

@inproceedings{icml2018_admm_36487,
  title = {{ADMM and Accelerated ADMM as Continuous Dynamical Systems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2396},
}

@inproceedings{neurips2017_asynchronous_56164,
  title = {{Asynchronous Coordinate Descent under More Realistic Assumptions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9389},
}

@inproceedings{icml2019_riemannian_37701,
  title = {{Riemannian adaptive stochastic gradient algorithms on matrix manifolds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3989},
}

@inproceedings{neurips2017_integration_56390,
  title = {{Integration Methods and Optimization Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8904},
}

@inproceedings{neurips2020_conformal_59568,
  title = {{Conformal Symplectic and Relativistic Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/19011},
}

@inproceedings{icml2019_accelerated_37120,
  title = {{Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4211},
}

@inproceedings{icml2020_anderson_37943,
  title = {{Anderson Acceleration of Proximal Gradient Methods}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6170},
}

@inproceedings{icml2017_dissipativity_36158,
  title = {{Dissipativity Theory for Nesterov’s Accelerated Method}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/891},
}

@inproceedings{neurips2016_adaptive_55561,
  title = {{Adaptive Averaging in Accelerated Descent Dynamics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7342},
}

@inproceedings{aaai2022_breaking_1801,
  title = {{Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06115-breaking-the-convergence-barrier-optimization-via-fixed-time-convergent-flows/},
}

@inproceedings{aaai2022_efficient_2026,
  title = {{Efficient Optimal Transport Algorithm by Accelerated Gradient Descent}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/10119-efficient-optimal-transport-algorithm-by-accelerated-gradient-descent/},
}

@inproceedings{neurips2019_trajectory_59113,
  title = {{Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13227},
}

@inproceedings{neurips2018_the_57694,
  title = {{The Physical Systems Behind Optimization Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11432},
}

@inproceedings{iclr2019_a2bcd_29223,
  title = {{A2BCD: Asynchronous Acceleration with Optimal Complexity}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1125},
}

@inproceedings{iclr2024_decentralized_34369,
  title = {{Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18706},
}

@inproceedings{neurips2024_nesterov_73575,
  title = {{Nesterov acceleration despite very noisy gradients}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93909},
}

@inproceedings{iclr2025_accelerated_82194,
  title = {{Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29597},
}

@inproceedings{icml2024_accelerated_44774,
  title = {{Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33678},
}

@inproceedings{icml2024_riemannian_44822,
  title = {{Riemannian coordinate descent algorithms on matrix manifolds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33630},
}

@inproceedings{icml2024_learning_44958,
  title = {{Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33494},
}

@inproceedings{icml2024_block_45095,
  title = {{Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33357},
}

@inproceedings{icml2024_convergence_45258,
  title = {{Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33194},
}

@inproceedings{icml2026_accelerated_51928,
  title = {{Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=RAkOcnP4Uz},
}

@inproceedings{icml2026_operator_54559,
  title = {{Operator Splitting with Hamilton-Jacobi-based Proximals}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=q7mB5s1ie1},
}

@inproceedings{neurips2024_quantitative_70291,
  title = {{Quantitative Convergences of Lie Group Momentum Optimizers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96800},
}

@inproceedings{neurips2024_interaction_74095,
  title = {{Interaction-Force Transport Gradient Flows}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93438},
}

@inproceedings{neurips2025_acceleration_76868,
  title = {{Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Nl02znfTCT},
}

@inproceedings{neurips2025_continuous_77032,
  title = {{Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=PlQqwb7Bte},
}

@inproceedings{neurips2025_sharper_77991,
  title = {{Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=ZvqbNFWQkh},
}

@inproceedings{neurips2025_hamiltonian_79257,
  title = {{Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nW6SMcfDq3},
}

@inproceedings{iclr2025_nesterov_82556,
  title = {{Nesterov acceleration in benignly non-convex landscapes}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29241},
}

@inproceedings{iclr2026_riemannian_85442,
  title = {{Riemannian Optimization on Relaxed Indicator Matrix Manifold}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=ERJd7dMN6U},
}

@inproceedings{iclr2026_sobolev_85831,
  title = {{Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=IjL1xEoxXi},
}

@inproceedings{iclr2026_a_88332,
  title = {{A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=lcEw5NcSij},
}