% Key papers for Algorithms with explicit predictors (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2018_a_101250,
  title = {{A Coverage-Based Utility Model for Identifying Unknown Unknowns}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11493},
}

@inproceedings{icml2020_predictive_38632,
  title = {{Predictive Multiplicity in Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6624},
}

@inproceedings{iclr2019_attentive_29055,
  title = {{Attentive Neural Processes}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1006},
}

@inproceedings{icml2020_performative_38618,
  title = {{Performative Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5810},
}

@inproceedings{neurips2017_best_56179,
  title = {{Best Response Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8941},
}

@inproceedings{aaai2018_incentive_101021,
  title = {{Incentive-Compatible Forecasting Competitions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11471},
}

@inproceedings{icml2019_on_37599,
  title = {{On discriminative learning of prediction uncertainty}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4098},
}

@inproceedings{neurips2020_secretary_60789,
  title = {{Secretary and Online Matching Problems with Machine Learned Advice}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17878},
}

@inproceedings{icml2018_efficient_36666,
  title = {{Efficient and Consistent Adversarial Bipartite Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2162},
}

@inproceedings{aaai2022_machine_2399,
  title = {{Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/05059-machine-learned-prediction-equilibrium-for-dynamic-traffic-assignment/},
}

@inproceedings{aaai2022_online_2510,
  title = {{Online Search with Best-Price and Query-Based Predictions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09652-online-search-with-best-price-and-query-based-predictions/},
}

@inproceedings{aaai2023_on_4276,
  title = {{On Manipulating Weight Predictions in Signed Weighted Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25652},
}

@inproceedings{neurips2016_avoiding_55589,
  title = {{Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7254},
}

@inproceedings{neurips2019_localized_58556,
  title = {{Localized Structured Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13819},
}

@inproceedings{iclr2025_imputation_81290,
  title = {{Imputation for prediction: beware of diminishing returns.}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30481},
}

@inproceedings{aaai2021_contract_317,
  title = {{Contract Scheduling With Predictions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11726-contract-scheduling-with-predictions/},
}

@inproceedings{neurips2022_algorithms_66391,
  title = {{Algorithms with Prediction Portfolios}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52995},
}

@inproceedings{neurips2023_online_70056,
  title = {{Online List Labeling with Predictions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/69916},
}

@inproceedings{neurips2024_learning_70157,
  title = {{Learning-Augmented Algorithms with Explicit Predictors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96926},
}

@inproceedings{neurips2024_mechanism_72837,
  title = {{Mechanism design augmented with output advice}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94563},
}

@inproceedings{neurips2024_towards_74527,
  title = {{Towards Human-AI Complementarity with Prediction Sets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93055},
}

@inproceedings{neurips2024_binary_71537,
  title = {{Binary Search with Distributional Predictions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95727},
}

@inproceedings{neurips2024_fair_73124,
  title = {{Fair Secretaries with Unfair Predictions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94306},
}

@inproceedings{neurips2025_maximizing_74816,
  title = {{Maximizing the Value of Predictions in Control: Accuracy Is Not Enough}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=1YCb07JMyl},
}

@inproceedings{aaai2026_optimizing_108819,
  title = {{Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41171},
}

@inproceedings{aaai2025_list_9801,
  title = {{List Update with Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33694},
}

@inproceedings{icml2024_conformal_43900,
  title = {{Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34552},
}

@inproceedings{icml2024_online_45728,
  title = {{Online Algorithms with Uncertainty-Quantified Predictions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32724},
}

@inproceedings{icml2025_the_45941,
  title = {{The Value of Prediction in Identifying the Worst-Off}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46605},
}

@inproceedings{icml2025_algorithms_47154,
  title = {{Algorithms with Calibrated Machine Learning Predictions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45433},
}

@inproceedings{icml2025_learning_48351,
  title = {{Learning With Multi-Group Guarantees For Clusterable Subpopulations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44264},
}

@inproceedings{icml2026_optimal_52362,
  title = {{Optimal Decision-Making Based on Prediction Sets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=VAXW59dyfk},
}

@inproceedings{icml2026_lec_52984,
  title = {{LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=auEvgVBpSF},
}

@inproceedings{icml2026_tsp_53703,
  title = {{TSP with Predictions: Heatmap to Tour with Provable Guarantees}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=huBiCTksKV},
}

@inproceedings{neurips2024_learning_71388,
  title = {{Learning from Snapshots of Discrete and Continuous Data Streams}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95862},
}

@inproceedings{neurips2024_the_71702,
  title = {{The Secretary Problem with Predicted Additive Gap}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95582},
}

@inproceedings{neurips2025_online_76251,
  title = {{Online Prediction with Limited Selectivity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=HFT821Q83J},
}