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

@inproceedings{neurips2018_on_57455,
  title = {{On Coresets for Logistic Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11634},
}

@inproceedings{neurips2020_coresets_59606,
  title = {{Coresets for Regressions with Panel Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18621},
}

@inproceedings{iclr2021_learning_30696,
  title = {{Learning-based Support Estimation in Sublinear Time}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2622},
}

@inproceedings{icml2019_refined_37689,
  title = {{Refined Complexity of PCA with Outliers}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3827},
}

@inproceedings{icml2023_on_41570,
  title = {{On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24331},
}

@inproceedings{aaai2019_which_101633,
  title = {{Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4340},
}

@inproceedings{neurips2020_on_60471,
  title = {{On Testing of Samplers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17695},
}

@inproceedings{neurips2021_greedy_62444,
  title = {{Greedy Approximation Algorithms for Active Sequential Hypothesis Testing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26429},
}

@inproceedings{iclr2023_on_32066,
  title = {{On the Performance of Temporal Difference Learning With Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11766},
}

@inproceedings{icml2021_light_39564,
  title = {{Light RUMs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8503},
}

@inproceedings{icml2024_coresets_43431,
  title = {{Coresets for Multiple \$ell\_p\$ Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35021},
}

@inproceedings{icml2025_binary_48017,
  title = {{Binary Hypothesis Testing for Softmax Models and Leverage Score Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44589},
}

@inproceedings{icml2026_linear_50584,
  title = {{Linear Regression with Unknown Truncation Beyond Gaussian Features}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=DsV89lJ58l},
}

@inproceedings{icml2026_accelerating_52149,
  title = {{Accelerating Regression Tasks with Quantum Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=TBSyYj4VV6},
}

@inproceedings{icml2026_hard_54390,
  title = {{Hard labels sampled from sparse targets mislead rotation invariant algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=oVt5ioGXPg},
}

@inproceedings{neurips2021_relu_61420,
  title = {{ReLU Regression with Massart Noise}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26920},
}

@inproceedings{neurips2022_semi_65712,
  title = {{Semi-supervised Active Linear Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53924},
}

@inproceedings{neurips2023_a_66868,
  title = {{A Competitive Algorithm for Agnostic Active Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72774},
}

@inproceedings{neurips2023_experimental_67945,
  title = {{Experimental Designs for Heteroskedastic Variance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71825},
}

@inproceedings{neurips2023_hypothesis_69302,
  title = {{Hypothesis Selection with Memory Constraints}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70598},
}

@inproceedings{neurips2024_testing_70116,
  title = {{Testing Calibration in Nearly-Linear Time}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96961},
}

@inproceedings{neurips2024_linear_70424,
  title = {{Linear Regression using Heterogeneous Data Batches}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96681},
}

@inproceedings{neurips2024_optimal_72263,
  title = {{Optimal Hypothesis Selection in (Almost) Linear Time}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95081},
}

@inproceedings{neurips2024_on_72816,
  title = {{On the Sparsity of the Strong Lottery Ticket Hypothesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94583},
}

@inproceedings{neurips2025_nearly_76546,
  title = {{Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=KXCJjzbmMh},
}

@inproceedings{neurips2025_star_76618,
  title = {{STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=LHsQSC89Pt},
}

@inproceedings{neurips2025_near_77193,
  title = {{Near-Exponential Savings for Population Mean Estimation with Active Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=REKmD78Z0J},
}

@inproceedings{neurips2025_product_78815,
  title = {{Product Distribution Learning with Imperfect Advice}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=idjZKbf78s},
}

@inproceedings{iclr2025_robustness_82360,
  title = {{Robustness Auditing for Linear Regression: To Singularity and Beyond}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29431},
}

@inproceedings{icml2025_fast_48981,
  title = {{Fast Min-\$epsilon\$ Segmented Regression using Constant-Time Segment Merging}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43642},
}

@inproceedings{iclr2026_on_87343,
  title = {{On Coreset for LASSO Regression Problem with Sensitivity Sampling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=aUlHK31TAz},
}

@inproceedings{neurips2026_improved_90036,
  title = {{Improved Leverage Score Sampling for Constrained Active Linear Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155618},
}

@inproceedings{neurips2026_linear_91195,
  title = {{Linear Regression Under Misalignment: Algorithms and Theoretical Results}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155332},
}

@inproceedings{neurips2026_efficient_92962,
  title = {{Efficient algorithms for linear regression with heteroskedastic errors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/148854},
}