% Key papers for Penalty and implicit-gradient bilevel methods (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2021_a_61831,
  title = {{A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26624},
}

@inproceedings{neurips2021_provably_61199,
  title = {{Provably Faster Algorithms for Bilevel Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27932},
}

@inproceedings{neurips2021_closing_62094,
  title = {{Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27012},
}

@inproceedings{icml2022_fednest_40558,
  title = {{FedNest: Federated Bilevel, Minimax, and Compositional Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17791},
}

@inproceedings{neurips2022_enhanced_66018,
  title = {{Enhanced Bilevel Optimization via Bregman Distance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54869},
}

@inproceedings{icml2023_on_42562,
  title = {{On Penalty-based Bilevel Gradient Descent Method}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24417},
}

@inproceedings{neurips2023_an_70097,
  title = {{An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/69880},
}

@inproceedings{icml2023_averaged_42194,
  title = {{Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24984},
}

@inproceedings{neurips2022_non_66384,
  title = {{Non-Convex Bilevel Games with Critical Point Selection Maps}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52914},
}

@inproceedings{neurips2023_contextual_68174,
  title = {{Contextual Stochastic Bilevel Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71616},
}

@inproceedings{neurips2024_first_73152,
  title = {{First-Order Methods for Linearly Constrained Bilevel Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94279},
}

@inproceedings{iclr2024_bilevel_34227,
  title = {{Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18848},
}

@inproceedings{icml2022_value_41330,
  title = {{Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17373},
}

@inproceedings{icml2023_decentralized_42834,
  title = {{Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24307},
}

@inproceedings{icml2024_convex_43526,
  title = {{Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34926},
}

@inproceedings{neurips2022_a_63697,
  title = {{A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53495},
}

@inproceedings{neurips2022_multi_64049,
  title = {{Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53747},
}

@inproceedings{neurips2024_a_71728,
  title = {{A Framework for Bilevel Optimization on Riemannian Manifolds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95558},
}

@inproceedings{neurips2024_an_72827,
  title = {{An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94572},
}

@inproceedings{neurips2024_penalty_73884,
  title = {{Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93627},
}

@inproceedings{neurips2024_a_74291,
  title = {{A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93267},
}

@inproceedings{neurips2024_an_74334,
  title = {{An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93226},
}

@inproceedings{iclr2025_tuning_81116,
  title = {{Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30652},
}

@inproceedings{iclr2024_on_33918,
  title = {{On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19157},
}

@inproceedings{iclr2024_constrained_35617,
  title = {{Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17456},
}

@inproceedings{icml2024_spaba_43308,
  title = {{SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35144},
}

@inproceedings{icml2024_a_43371,
  title = {{A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35081},
}

@inproceedings{icml2024_double_43566,
  title = {{Double Momentum Method for Lower-Level Constrained Bilevel Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34886},
}

@inproceedings{icml2024_on_44288,
  title = {{On The Complexity of First-Order Methods in Stochastic Bilevel Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34164},
}

@inproceedings{icml2024_optimal_44959,
  title = {{Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33493},
}

@inproceedings{icml2026_a_51845,
  title = {{A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=QO64QUEXdV},
}

@inproceedings{icml2026_a_53846,
  title = {{A Fully First-Order Layer for Differentiable Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=jJur8Fq7IK},
}

@inproceedings{icml2026_second_55219,
  title = {{Second-Order Bilevel Optimization with Accelerated Convergence Rates}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=wnj21mpuHv},
}

@inproceedings{neurips2024_provably_71010,
  title = {{Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96197},
}