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

@inproceedings{aaai2020_bursting_100256,
  title = {{Bursting the Filter Bubble: Fairness-Aware Network Link Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5429},
}

@inproceedings{aaai2020_balancing_100905,
  title = {{Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5597},
}

@inproceedings{aaai2020_incremental_99748,
  title = {{Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5349},
}

@inproceedings{icml2017_meritocratic_36284,
  title = {{Meritocratic Fairness for Cross-Population Selection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/744},
}

@inproceedings{aaai2020_fairness_100285,
  title = {{Fairness-Aware Demand Prediction for New Mobility}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5458},
}

@inproceedings{aaai2023_rawlsian_4478,
  title = {{Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25698},
}

@inproceedings{icml2020_fair_38194,
  title = {{Fair k-Centers via Maximum Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6460},
}

@inproceedings{neurips2021_fair_63040,
  title = {{Fair Sortition Made Transparent}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27327},
}

@inproceedings{cvpr2024_utility_25178,
  title = {{Utility-Fairness Trade-Offs and How to Find Them}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31043},
}

@inproceedings{neurips2020_neutralizing_60421,
  title = {{Neutralizing Self-Selection Bias in Sampling for Sortition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17726},
}

@inproceedings{aaai2024_manipulation_6602,
  title = {{Manipulation-Robust Selection of Citizens’ Assemblies}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28827},
}

@inproceedings{aaai2019_comparative_99671,
  title = {{Comparative Document Summarisation via Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3764},
}

@inproceedings{aaai2023_on_4284,
  title = {{On the Cost of Demographic Parity in Influence Maximization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26651},
}

@inproceedings{icml2021_on_39715,
  title = {{On the Problem of Underranking in Group-Fair Ranking}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8785},
}

@inproceedings{neurips2024_fairness_72885,
  title = {{Fairness in Social Influence Maximization via Optimal Transport}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94521},
}

@inproceedings{neurips2020_approximate_59388,
  title = {{Approximate Heavily-Constrained Learning with Lagrange Multiplier Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17924},
}

@inproceedings{neurips2023_scalable_70096,
  title = {{Scalable Fair Influence Maximization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/69881},
}

@inproceedings{aaai2023_improving_3884,
  title = {{Improving Fairness in Information Exposure by Adding Links}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26652},
}

@inproceedings{aaai2024_fair_5953,
  title = {{Fair Lotteries for Participatory Budgeting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28801},
}

@inproceedings{aaai2024_strategyproof_7423,
  title = {{Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28843},
}

@inproceedings{aaai2024_fairplay_5959,
  title = {{FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30243},
}

@inproceedings{aaai2024_project_7006,
  title = {{Project-Fair and Truthful Mechanisms for Budget Aggregation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28828},
}

@inproceedings{aaai2024_towards_7598,
  title = {{Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29969},
}

@inproceedings{aaai2024_fair_5955,
  title = {{Fair Participation via Sequential Policies}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29394},
}

@inproceedings{neurips2025_fairness_78769,
  title = {{Fairness under Competition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=i9zoexiRFA},
}

@inproceedings{aaai2026_putting_106408,
  title = {{Putting Fair Division on the Map}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38715},
}

@inproceedings{aaai2024_learning_6453,
  title = {{Learning Fair Policies for Multi-Stage Selection Problems from Observational Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30112},
}

@inproceedings{aaai2025_proportionally_10386,
  title = {{Proportionally Fair Matching via Randomized Rounding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33805},
}

@inproceedings{iclr2024_time_33790,
  title = {{Time Fairness in Online Knapsack Problems}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19285},
}

@inproceedings{icml2024_centralized_43645,
  title = {{Centralized Selection with Preferences in the Presence of Biases}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34807},
}

@inproceedings{icml2026_fairness_50474,
  title = {{Fairness in Aggregation: Optimal Top-\$k\$ and Improved Full Ranking}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=CeyNBFDCdB},
}

@inproceedings{icml2026_optimal_54306,
  title = {{Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=niQUth28zn},
}

@inproceedings{neurips2024_promoting_70133,
  title = {{Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96945},
}

@inproceedings{neurips2024_fair_70585,
  title = {{Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96532},
}

@inproceedings{neurips2025_fair_76898,
  title = {{Fair Continuous Resource Allocation with Equality of Impact}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=OFSAgrid1R},
}