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

@inproceedings{neurips2016_satisfying_55980,
  title = {{Satisfying Real-world Goals with Dataset Constraints}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7071},
}

@inproceedings{neurips2019_on_58723,
  title = {{On the Accuracy of Influence Functions for Measuring Group Effects}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13663},
}

@inproceedings{cvpr2016_logistic_11685,
  title = {{Logistic Boosting Regression for Label Distribution Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2016_deep_104998,
  title = {{Deep Learning for Algorithm Portfolios}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10170},
}

@inproceedings{cvpr2022_deep_18623,
  title = {{Deep Unlearning via Randomized Conditionally Independent Hessians}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2019_a_57840,
  title = {{A Step Toward Quantifying Independently Reproducible Machine Learning Research}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14533},
}

@inproceedings{neurips2018_human_57212,
  title = {{Human-in-the-Loop Interpretability Prior}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11963},
}

@inproceedings{neurips2021_adaptive_61795,
  title = {{Adaptive Machine Unlearning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26381},
}

@inproceedings{neurips2021_towards_61582,
  title = {{Towards Robust and Reliable Algorithmic Recourse}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27274},
}

@inproceedings{aaai2020_regression_101264,
  title = {{Regression under Human Assistance}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5645},
}

@inproceedings{neurips2021_good_62298,
  title = {{Good Classification Measures and How to Find Them}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26437},
}

@inproceedings{icml2021_model_39614,
  title = {{Model Distillation for Revenue Optimization: Interpretable Personalized Pricing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8575},
}

@inproceedings{cvpr2017_analyzing_12060,
  title = {{Analyzing Computer Vision Data - The Good, the Bad and the Ugly}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2022_how_19011,
  title = {{How Much More Data Do I Need? Estimating Requirements for Downstream Tasks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_decentralized_65054,
  title = {{Decentralized Training of Foundation Models in Heterogeneous Environments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53302},
}

@inproceedings{aaai2023_predictive_4404,
  title = {{Predictive Multiplicity in Probabilistic Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26227},
}

@inproceedings{neurips2019_on_58721,
  title = {{On Tractable Computation of Expected Predictions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14111},
}

@inproceedings{neurips2022_what_65826,
  title = {{What are the best Systems? New Perspectives on NLP Benchmarking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54380},
}

@inproceedings{neurips2021_validation_62482,
  title = {{Validation Free and Replication Robust Volume-based Data Valuation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27758},
}

@inproceedings{neurips2021_what_63411,
  title = {{What’s a good imputation to predict with missing values?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27751},
}

@inproceedings{aaai2024_variable_7757,
  title = {{Variable Importance in High-Dimensional Settings Requires Grouping}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28997},
}

@inproceedings{aaai2025_learning_9722,
  title = {{Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35192},
}

@inproceedings{neurips2024_what_72064,
  title = {{What makes unlearning hard and what to do about it}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95259},
}

@inproceedings{aaai2024_discretionary_5708,
  title = {{Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30236},
}

@inproceedings{aaai2025_what_11286,
  title = {{What Do Machine Learning Researchers Mean by “Reproducible”?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35093},
}

@inproceedings{iclr2024_leave_33779,
  title = {{Leave-one-out Distinguishability in Machine Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19296},
}

@inproceedings{neurips2024_is_70469,
  title = {{Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96639},
}

@inproceedings{aaai2024_combining_5431,
  title = {{Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30330},
}

@inproceedings{iclr2024_leveraging_35233,
  title = {{Leveraging Uncertainty Estimates To Improve Classifier Performance}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17840},
}

@inproceedings{icml2024_plug_45160,
  title = {{Plug-in Performative Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33292},
}

@inproceedings{neurips2024_training_70348,
  title = {{Training Data Attribution via Approximate Unrolling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96749},
}

@inproceedings{neurips2024_most_74029,
  title = {{Most Influential Subset Selection: Challenges, Promises, and Beyond}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93494},
}

@inproceedings{aaai2024_derdava_5605,
  title = {{DeRDaVa: Deletion-Robust Data Valuation for Machine Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29462},
}

@inproceedings{aaai2024_i_6246,
  title = {{I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30126},
}

@inproceedings{aaai2024_u_7666,
  title = {{U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29972},
}

@inproceedings{iclr2024_safe_35660,
  title = {{Safe Collaborative Filtering}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17413},
}

@inproceedings{icml2024_robust_44094,
  title = {{Robust Multi-Task Learning with Excess Risks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34358},
}

@inproceedings{icml2024_the_45373,
  title = {{The Relative Value of Prediction in Algorithmic Decision Making}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33078},
}

@inproceedings{icml2025_autoeval_47349,
  title = {{AutoEval Done Right: Using Synthetic Data for Model Evaluation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45243},
}

@inproceedings{neurips2024_discedit_74249,
  title = {{DisCEdit: Model Editing by Identifying Discriminative Components}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93306},
}