% Key papers for Adaptive first-order convex methods (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2017_prox_36354,
  title = {{Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/749},
}

@inproceedings{icml2016_on_35924,
  title = {{On Graduated Optimization for Stochastic Non-Convex Problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/hazanb16.html},
}

@inproceedings{aaai2017_an_104418,
  title = {{An Exact Penalty Method for Binary Optimization Based on MPEC Formulation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10795},
}

@inproceedings{icml2017_global_36205,
  title = {{Global optimization of Lipschitz functions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/717},
}

@inproceedings{neurips2019_a_57816,
  title = {{A Linearly Convergent Proximal Gradient Algorithm for Decentralized  Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13470},
}

@inproceedings{icml2017_sub_36418,
  title = {{Sub-sampled Cubic Regularization for Non-convex Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/563},
}

@inproceedings{icml2018_convergence_36599,
  title = {{Convergence guarantees for a class of non-convex and non-smooth optimization problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2283},
}

@inproceedings{aaai2019_non_101720,
  title = {{Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4435},
}

@inproceedings{neurips2016_the_56048,
  title = {{The non-convex Burer-Monteiro approach works on smooth semidefinite programs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6966},
}

@inproceedings{icml2016_sdca_35971,
  title = {{SDCA without Duality, Regularization, and Individual Convexity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/shalev-shwartza16.html},
}

@inproceedings{neurips2016_the_56047,
  title = {{The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7279},
}

@inproceedings{neurips2016_asynchronous_55584,
  title = {{Asynchronous Parallel Greedy Coordinate Descent}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7293},
}

@inproceedings{neurips2018_online_57472,
  title = {{Online Adaptive Methods, Universality and Acceleration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11628},
}

@inproceedings{neurips2017_dykstra_56271,
  title = {{Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8848},
}

@inproceedings{neurips2019_accelerating_57860,
  title = {{Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14290},
}

@inproceedings{icml2020_finite_38220,
  title = {{Finite-Time Convergence in Continuous-Time Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6568},
}

@inproceedings{neurips2018_a_56826,
  title = {{A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11253},
}

@inproceedings{icml2016_a_35725,
  title = {{A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/rodomanov16.html},
}

@inproceedings{aaai2016_scaling_105116,
  title = {{Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10288},
}

@inproceedings{icml2017_exploiting_36186,
  title = {{Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/863},
}

@inproceedings{neurips2024_adaptive_74050,
  title = {{Adaptive Proximal Gradient Method for Convex Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93476},
}

@inproceedings{neurips2024_non_73769,
  title = {{Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93735},
}

@inproceedings{aaai2025_an_8106,
  title = {{An Enhanced Levenberg--Marquardt Method via Gram Reduction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34066},
}

@inproceedings{neurips2024_achieving_71398,
  title = {{Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95853},
}

@inproceedings{neurips2024_lower_71494,
  title = {{Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95766},
}

@inproceedings{neurips2024_adaptive_71870,
  title = {{Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95432},
}

@inproceedings{neurips2024_directional_73728,
  title = {{Directional Smoothness and Gradient Methods: Convergence and Adaptivity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93771},
}

@inproceedings{aaai2024_incremental_6314,
  title = {{Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29319},
}

@inproceedings{aaai2025_de_8643,
  title = {{De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33983},
}

@inproceedings{iclr2024_a_34444,
  title = {{A Primal-Dual Approach to Solving Variational Inequalities with General Constraints}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18631},
}

@inproceedings{icml2024_spectral_44266,
  title = {{Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34186},
}

@inproceedings{icml2024_adaptive_44447,
  title = {{Adaptive Proximal Gradient Methods Are Universal Without Approximation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34005},
}

@inproceedings{icml2024_inexact_45393,
  title = {{Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33058},
}

@inproceedings{icml2024_stochastic_45398,
  title = {{Stochastic Weakly Convex Optimization beyond Lipschitz Continuity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33053},
}

@inproceedings{icml2025_optimization_46429,
  title = {{Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46136},
}

@inproceedings{icml2025_improved_46463,
  title = {{Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46103},
}

@inproceedings{icml2025_constrained_46601,
  title = {{Constrained Online Convex Optimization with Polyak Feasibility Steps}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45968},
}

@inproceedings{icml2025_achieving_47466,
  title = {{Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45127},
}

@inproceedings{icml2025_nonlinearly_48368,
  title = {{Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44248},
}

@inproceedings{icml2025_toward_48493,
  title = {{Toward a Unified Theory of Gradient Descent under Generalized Smoothness}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44126},
}