% Key papers for Streaming submodular algorithms (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_creating_12932,
  title = {{Creating Capsule Wardrobes From Fashion Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Hsiao_Creating_Capsule_Wardrobes_CVPR_2018_paper.html},
}

@inproceedings{aaai2018_algorithms_100334,
  title = {{Algorithms for Trip-Vehicle Assignment in Ride-Sharing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11298},
}

@inproceedings{cvpr2017_online_12516,
  title = {{Online Summarization via Submodular and Convex Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2018_streaming_101106,
  title = {{Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11529},
}

@inproceedings{aaai2017_selecting_104546,
  title = {{Selecting Sequences of Items via Submodular Maximization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10923},
}

@inproceedings{icml2019_submodular_37774,
  title = {{Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3925},
}

@inproceedings{neurips2016_causal_55619,
  title = {{Causal meets Submodular: Subset Selection with Directed Information}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6942},
}

@inproceedings{aaai2016_unsupervised_104823,
  title = {{Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10082},
}

@inproceedings{aaai2016_noisy_105035,
  title = {{Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10207},
}

@inproceedings{icml2018_beyond_36545,
  title = {{Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2040},
}

@inproceedings{neurips2018_do_57065,
  title = {{Do Less, Get More: Streaming Submodular Maximization with Subsampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11095},
}

@inproceedings{icml2018_scalable_36974,
  title = {{Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1927},
}

@inproceedings{aaai2020_subset_101063,
  title = {{Subset Selection by Pareto Optimization with Recombination}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5621},
}

@inproceedings{icml2016_greedy_35857,
  title = {{Greedy Column Subset Selection: New Bounds and Distributed Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/altschuler16.html},
}

@inproceedings{icml2018_data_36612,
  title = {{Data Summarization at Scale: A Two-Stage Submodular Approach}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2144},
}

@inproceedings{neurips2016_budgeted_55611,
  title = {{Budgeted stream-based active learning via adaptive submodular maximization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7091},
}

@inproceedings{neurips2017_streaming_56694,
  title = {{Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9233},
}

@inproceedings{iclr2018_minimax_28477,
  title = {{Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/276},
}

@inproceedings{aaai2018_on_101101,
  title = {{On Multiset Selection With Size Constraints}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11524},
}

@inproceedings{aaai2017_extending_106114,
  title = {{Extending Compact-Table to Negative and Short Tables}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11127},
}

@inproceedings{aaai2025_online_10199,
  title = {{Online and Streaming Algorithms for Constrained k-Submodular Maximization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34266},
}

@inproceedings{neurips2024_learning_74178,
  title = {{Learning-Augmented Dynamic Submodular Maximization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93367},
}

@inproceedings{icml2025_improved_47047,
  title = {{Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45538},
}

@inproceedings{neurips2024_deep_74225,
  title = {{Deep Submodular Peripteral Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93329},
}

@inproceedings{neurips2025_gist_75227,
  title = {{GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=5aeD5UbiLv},
}

@inproceedings{neurips2025_individually_79047,
  title = {{Individually Fair Diversity Maximization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=l2YPV99mnB},
}

@inproceedings{neurips2025_streaming_79474,
  title = {{Streaming Stochastic Submodular Maximization with On-Demand User Requests}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=pjfMwXm61w},
}

@inproceedings{neurips2026_non_90074,
  title = {{Non-Linear Pricing Restores Tractability for a Data Seller}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155203},
}

@inproceedings{neurips2026_stable_91904,
  title = {{Stable Max Coverage Under a Cardinality Constraint}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/156002},
}

@inproceedings{neurips2026_learning_94039,
  title = {{Learning-Augmented Streaming Algorithms for Approximating Boolean Max-CSPs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153162},
}

@inproceedings{neurips2026_diversity_95415,
  title = {{Diversity Maximization: Algorithms for Distant \$k\$-Subsets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150500},
}