% Key papers for Equilibrium solvers for adversarial games (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2020_do_38120,
  title = {{Do GANs always have Nash equilibria?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6066},
}

@inproceedings{icml2020_invariant_38343,
  title = {{Invariant Risk Minimization Games}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6221},
}

@inproceedings{aaai2016_poker_104759,
  title = {{Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10013},
}

@inproceedings{aaai2023_rethinking_4519,
  title = {{Rethinking Data-Free Quantization as a Zero-Sum Game}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26136},
}

@inproceedings{neurips2016_deep_55667,
  title = {{Deep Learning Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7082},
}

@inproceedings{icml2019_finding_37370,
  title = {{Finding Mixed Nash Equilibria of Generative Adversarial Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4102},
}

@inproceedings{neurips2020_monotone_60350,
  title = {{Monotone operator equilibrium networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18791},
}

@inproceedings{neurips2019_optimizing_58772,
  title = {{Optimizing Generalized Rate Metrics with Three Players}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13235},
}

@inproceedings{aaai2023_an_3100,
  title = {{An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25722},
}

@inproceedings{icml2021_on_39688,
  title = {{On Characterizing GAN Convergence Through Proximal Duality Gap}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8559},
}

@inproceedings{icml2021_signatured_39947,
  title = {{Signatured Deep Fictitious Play for Mean Field Games with Common Noise}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9157},
}

@inproceedings{neurips2019_nonzero_58693,
  title = {{Nonzero-sum Adversarial Hypothesis Testing Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13820},
}

@inproceedings{neurips2024_no_71889,
  title = {{No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95414},
}

@inproceedings{iclr2023_escher_31972,
  title = {{ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10948},
}

@inproceedings{iclr2024_variance_33466,
  title = {{Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19609},
}

@inproceedings{icml2021_a_38970,
  title = {{A Novel Method to Solve Neural Knapsack Problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10715},
}

@inproceedings{neurips2022_turbocharging_64944,
  title = {{Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53003},
}

@inproceedings{iclr2024_generative_34521,
  title = {{Generative Adversarial Equilibrium Solvers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18553},
}

@inproceedings{icml2023_auxiliary_42134,
  title = {{Auxiliary Learning as an Asymmetric Bargaining Game}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23573},
}

@inproceedings{aaai2023_don_3498,
  title = {{Don’t Predict Counterfactual Values, Predict Expected Values Instead}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25661},
}

@inproceedings{aaai2025_towards_11061,
  title = {{Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34912},
}

@inproceedings{iclr2024_learning_33763,
  title = {{Learning Nash Equilibria in Rank-1 Games}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19312},
}

@inproceedings{icml2024_dag_43262,
  title = {{DAG-Based Column Generation for Adversarial Team Games}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35190},
}

@inproceedings{icml2025_expected_46979,
  title = {{Expected Variational Inequalities}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45602},
}

@inproceedings{icml2026_on_53989,
  title = {{On the Computational Complexity of Performative Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=kkhVljGiMS},
}