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

@inproceedings{neurips2018_overfitting_57492,
  title = {{Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11240},
}

@inproceedings{icml2020_an_37938,
  title = {{An Investigation of Why Overparameterization Exacerbates Spurious Correlations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6809},
}

@inproceedings{icml2020_rethinking_38699,
  title = {{Rethinking Bias-Variance Trade-off for Generalization of Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6259},
}

@inproceedings{icml2020_double_38130,
  title = {{Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6013},
}

@inproceedings{iclr2021_optimal_30031,
  title = {{Optimal Regularization can Mitigate Double Descent}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2540},
}

@inproceedings{neurips2020_exact_59813,
  title = {{Exact expressions for double descent and implicit regularization via surrogate random design}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18323},
}

@inproceedings{icml2020_the_38850,
  title = {{The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6710},
}

@inproceedings{neurips2020_triple_61016,
  title = {{Triple descent and the two kinds of overfitting: where \& why do they appear?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17670},
}

@inproceedings{neurips2020_autoencoders_59408,
  title = {{Autoencoders that don't overfit towards the Identity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/19006},
}

@inproceedings{neurips2020_understanding_61036,
  title = {{Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18959},
}

@inproceedings{iclr2022_neural_31815,
  title = {{Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6352},
}

@inproceedings{neurips2020_overfitting_60553,
  title = {{Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17806},
}

@inproceedings{neurips2021_benign_61178,
  title = {{Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26565},
}

@inproceedings{neurips2021_overparameterization_62157,
  title = {{Overparameterization Improves Robustness to Covariate Shift in High Dimensions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26378},
}

@inproceedings{neurips2019_data_58087,
  title = {{Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13381},
}

@inproceedings{neurips2021_risk_61644,
  title = {{Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28518},
}

@inproceedings{icml2021_learning_39517,
  title = {{Learning Curves for Analysis of Deep Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8899},
}

@inproceedings{neurips2022_learning_65514,
  title = {{Learning sparse features can lead to overfitting in neural networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53001},
}

@inproceedings{neurips2023_a_67938,
  title = {{A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71830},
}

@inproceedings{neurips2024_model_72944,
  title = {{Model Collapse Demystified: The Case of Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94468},
}

@inproceedings{aaai2024_double_5749,
  title = {{Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29071},
}

@inproceedings{aaai2024_high_6210,
  title = {{High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29253},
}

@inproceedings{iclr2024_dichotomy_34633,
  title = {{Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18441},
}

@inproceedings{neurips2024_provable_72124,
  title = {{Provable Tempered Overfitting of Minimal Nets and Typical Nets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95208},
}

@inproceedings{neurips2025_thumb_75617,
  title = {{Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=A3vDXf4PUO},
}

@inproceedings{neurips2025_neural_79473,
  title = {{Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=pjTbFuv9ET},
}

@inproceedings{iclr2024_noisy_34045,
  title = {{Noisy Interpolation Learning with Shallow Univariate ReLU Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19030},
}

@inproceedings{icml2024_generalization_44334,
  title = {{Generalization in Kernel Regression Under Realistic Assumptions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34118},
}

@inproceedings{icml2024_how_45355,
  title = {{How Spurious Features are Memorized: Precise Analysis for Random and NTK Features}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33096},
}

@inproceedings{icml2025_theoretical_46520,
  title = {{Theoretical Limitations of Ensembles in the Age of Overparameterization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46048},
}

@inproceedings{neurips2025_transfer_78079,
  title = {{Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=arXNS7T90z},
}

@inproceedings{iclr2026_risk_87767,
  title = {{Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=fFG4wZee3f},
}

@inproceedings{iclr2024_more_34339,
  title = {{More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18736},
}

@inproceedings{iclr2024_on_34996,
  title = {{On Bias-Variance Alignment in Deep Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18078},
}

@inproceedings{neurips2025_the_75683,
  title = {{The Persistence of Neural Collapse Despite Low-Rank Bias}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=AumtzgHji1},
}

@inproceedings{iclr2026_preventing_85026,
  title = {{Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=9RdhTvYbX0},
}