% Key papers for Distributed estimation under communication limits (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2017_distributed_36160,
  title = {{Distributed Mean Estimation with Limited Communication}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/714},
}

@inproceedings{neurips2019_quantum_58864,
  title = {{Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14539},
}

@inproceedings{neurips2016_total_56053,
  title = {{Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6898},
}

@inproceedings{neurips2018_the_57692,
  title = {{The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11320},
}

@inproceedings{neurips2017_communication_56201,
  title = {{Communication-Efficient Distributed Learning of Discrete Distributions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9409},
}

@inproceedings{icml2017_collect_36098,
  title = {{Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/860},
}

@inproceedings{icml2018_rates_36952,
  title = {{Rates of Convergence of Spectral Methods for Graphon Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2335},
}

@inproceedings{icml2018_crowdsourcing_36604,
  title = {{Crowdsourcing with Arbitrary Adversaries}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2054},
}

@inproceedings{neurips2017_higher_56363,
  title = {{Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9353},
}

@inproceedings{neurips2019_optimal_58766,
  title = {{Optimal Sparsity-Sensitive Bounds for  Distributed Mean Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13750},
}

@inproceedings{neurips2021_collaborative_62088,
  title = {{Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28713},
}

@inproceedings{aaai2024_robust_7175,
  title = {{Robust Nonparametric Regression under Poisoning Attack}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29644},
}

@inproceedings{icml2018_distributed_36652,
  title = {{Distributed Nonparametric Regression under Communication Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2046},
}

@inproceedings{neurips2020_list_60260,
  title = {{List-Decodable Mean Estimation via Iterative Multi-Filtering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17899},
}

@inproceedings{neurips2018_derivative_57027,
  title = {{Derivative Estimation in Random Design}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11346},
}

@inproceedings{iclr2021_new_30684,
  title = {{New Bounds For Distributed Mean Estimation and Variance Reduction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3360},
}

@inproceedings{icml2021_on_39703,
  title = {{On Robust Mean Estimation under Coordinate-level Corruption}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10339},
}

@inproceedings{neurips2021_lattice_62076,
  title = {{Lattice partition recovery with dyadic CART}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28585},
}

@inproceedings{neurips2024_dimension_73595,
  title = {{Dimension-free Private Mean Estimation for Anisotropic Distributions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93891},
}

@inproceedings{icml2020_optimal_38586,
  title = {{Optimal Robust Learning of Discrete Distributions from Batches}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6242},
}

@inproceedings{icml2024_private_44333,
  title = {{Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34119},
}

@inproceedings{neurips2024_private_70434,
  title = {{Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96671},
}

@inproceedings{neurips2025_robust_75620,
  title = {{Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=A4t17y2lXa},
}

@inproceedings{icml2025_uniform_46147,
  title = {{Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46413},
}

@inproceedings{icml2025_distributed_46424,
  title = {{Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46141},
}

@inproceedings{icml2025_adaptive_46899,
  title = {{Adaptive Estimation and Learning under Temporal Distribution Shift}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45680},
}

@inproceedings{icml2025_efficient_47014,
  title = {{Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45570},
}

@inproceedings{icml2026_improved_55244,
  title = {{Improved Distribution Estimation in \$ell\_infty\$}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=wwqrH4mwGq},
}

@inproceedings{neurips2025_refinement_74719,
  title = {{Refinement Methods for Distributed Distribution Estimation under \$ell^p\$-Losses}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=0SYkQ50imt},
}

@inproceedings{neurips2025_simple_75553,
  title = {{Simple and Optimal Sublinear Algorithms for Mean Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=9MLfWJZXTn},
}

@inproceedings{neurips2025_instance_76503,
  title = {{Instance-Optimality for Private KL Distribution Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=K0FbK2GOGj},
}

@inproceedings{neurips2025_robust_76825,
  title = {{Robust Estimation Under Heterogeneous Corruption Rates}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=NLf5qt6sUe},
}

@inproceedings{neurips2026_asymptotic_91153,
  title = {{Asymptotic Anytime-Valid Inference for U-statistics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154311},
}

@inproceedings{neurips2026_robust_93695,
  title = {{Robust Statistical Estimators with Bounded Empirical Sensitivity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153880},
}

@inproceedings{icml2025_sharp_47292,
  title = {{Sharp Optimality of Simple, Plug-in Estimation of the Fisher Information of a Smoothed Density}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45297},
}