% Key papers for Online learning with feedback graphs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2016_efficient_55704,
  title = {{Efficient Second Order Online Learning by Sketching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7050},
}

@inproceedings{neurips2016_adaptive_55567,
  title = {{Adaptive Smoothed Online Multi-Task Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6944},
}

@inproceedings{aaai2016_selecting_105144,
  title = {{Selecting Near-Optimal Learners via Incremental Data Allocation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10316},
}

@inproceedings{cvpr2022_deepliif_18631,
  title = {{DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
  url = {https://openaccess.thecvf.com/content/CVPR2022/html/Ghahremani_DeepLIIF_An_Online_Platform_for_Quantification_of_Clinical_Pathology_Slides_CVPR_2022_paper.html},
}

@inproceedings{icml2017_emulating_36175,
  title = {{Emulating the Expert: Inverse Optimization through Online Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/865},
}

@inproceedings{neurips2017_online_56545,
  title = {{Online Learning for Multivariate Hawkes Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9270},
}

@inproceedings{aaai2017_a_104460,
  title = {{A Framework of Online Learning with Imbalanced Streaming Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10837},
}

@inproceedings{icml2016_online_35933,
  title = {{Online Learning with Feedback Graphs Without the Graphs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/cohena16.html},
}

@inproceedings{icml2017_follow_36195,
  title = {{Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/492},
}

@inproceedings{icml2018_online_36898,
  title = {{Online Learning with Abstention}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2113},
}

@inproceedings{neurips2019_online_58758,
  title = {{Online-Within-Online Meta-Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14253},
}

@inproceedings{aaai2017_online_104482,
  title = {{Online Active Linear Regression via Thresholding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10859},
}

@inproceedings{icml2017_model_36289,
  title = {{Model-Independent Online Learning for Influence Maximization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/639},
}

@inproceedings{neurips2016_coin_55625,
  title = {{Coin Betting and Parameter-Free Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6976},
}

@inproceedings{aaai2022_online_2508,
  title = {{Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09153-online-influence-maximization-with-node-level-feedback-using-standard-offline-oracles/},
}

@inproceedings{icml2020_online_38574,
  title = {{Online Learning with Imperfect Hints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6350},
}

@inproceedings{icml2019_incremental_37448,
  title = {{Incremental Randomized Sketching for Online Kernel Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3922},
}

@inproceedings{neurips2018_online_57473,
  title = {{Online Improper Learning with an Approximation Oracle}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11551},
}

@inproceedings{icml2023_improved_42993,
  title = {{Improved Online Conformal Prediction via Strongly Adaptive Online Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24917},
}

@inproceedings{neurips2019_connections_58030,
  title = {{Connections Between Mirror Descent, Thompson Sampling and the Information Ratio}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14167},
}

@inproceedings{aaai2024_ahpatron_5155,
  title = {{Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29284},
}

@inproceedings{icml2024_online_45554,
  title = {{Online Learning under Budget and ROI Constraints via Weak Adaptivity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32898},
}

@inproceedings{icml2025_high_48894,
  title = {{High-Dimensional Prediction for Sequential Decision Making}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43729},
}

@inproceedings{neurips2024_strategic_70429,
  title = {{Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96676},
}

@inproceedings{neurips2024_fully_71037,
  title = {{Fully Unconstrained Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96172},
}

@inproceedings{neurips2024_online_71748,
  title = {{Online Classification with Predictions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95541},
}

@inproceedings{neurips2025_online_77971,
  title = {{Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Zfgvo65gxm},
}

@inproceedings{iclr2024_oracle_34099,
  title = {{Oracle Efficient Algorithms for Groupwise Regret}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18976},
}

@inproceedings{icml2024_efficient_44389,
  title = {{Efficient Online Set-valued Classification with Bandit Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34063},
}

@inproceedings{icml2024_a_45416,
  title = {{A General Online Algorithm for Optimizing Complex Performance Metrics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33035},
}

@inproceedings{icml2025_the_46870,
  title = {{The Relationship Between No-Regret Learning and Online Conformal Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45708},
}

@inproceedings{icml2025_online_48525,
  title = {{Online Learning with Unknown Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44095},
}

@inproceedings{icml2026_online_50636,
  title = {{Online Conformal Prediction via Universal Portfolio Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=EKmiOtjZjI},
}

@inproceedings{icml2026_the_55297,
  title = {{The Cost of Learning Under Multiple Change Points}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=xQLcklRDfM},
}

@inproceedings{neurips2024_multiclass_70335,
  title = {{Multiclass Transductive Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96761},
}

@inproceedings{neurips2024_optimal_70687,
  title = {{Optimal Multiclass U-Calibration Error and Beyond}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96436},
}

@inproceedings{neurips2024_bandit_70794,
  title = {{Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96335},
}

@inproceedings{neurips2024_a_72634,
  title = {{A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of \$Theta(T^2/3)\$ and its Application to Best-of-Both-Worlds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94746},
}

@inproceedings{neurips2024_group_73619,
  title = {{Group-wise oracle-efficient algorithms for online multi-group learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93868},
}

@inproceedings{neurips2025_agnostic_75552,
  title = {{Agnostic Continuous-Time Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=9LoVCfMLDl},
}