% Key papers for Parameter-free non-stationary online learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2017_projection_36350,
  title = {{Projection-free Distributed Online Learning in Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/700},
}

@inproceedings{icml2018_dynamic_36657,
  title = {{Dynamic Regret of Strongly Adaptive Methods}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1989},
}

@inproceedings{neurips2018_online_57474,
  title = {{Online Learning of Quantum States}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11855},
}

@inproceedings{neurips2016_metagrad_55870,
  title = {{MetaGrad: Multiple Learning Rates in Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7220},
}

@inproceedings{neurips2016_combining_55630,
  title = {{Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7109},
}

@inproceedings{icml2020_online_38578,
  title = {{Online mirror descent and dual averaging: keeping pace in the dynamic case}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6068},
}

@inproceedings{icml2019_adaptive_37134,
  title = {{Adaptive Scale-Invariant Online Algorithms for Learning Linear Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4196},
}

@inproceedings{neurips2019_online_58750,
  title = {{Online Forecasting of Total-Variation-bounded Sequences}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14103},
}

@inproceedings{icml2020_parameter_38612,
  title = {{Parameter-free, Dynamic, and Strongly-Adaptive Online Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6231},
}

@inproceedings{neurips2016_following_55741,
  title = {{Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7103},
}

@inproceedings{neurips2019_user_59165,
  title = {{User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14335},
}

@inproceedings{aaai2021_projection_1202,
  title = {{Projection-free Online Learning in Dynamic Environments}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10067-projection-free-online-learning-in-dynamic-environments/},
}

@inproceedings{neurips2019_online_58751,
  title = {{Online Learning via the Differential Privacy Lens}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14570},
}

@inproceedings{neurips2020_temporal_60926,
  title = {{Temporal Variability in Implicit Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18841},
}

@inproceedings{icml2021_memory_39601,
  title = {{Memory Efficient Online Meta Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9787},
}

@inproceedings{icml2019_online_37614,
  title = {{Online Adaptive Principal Component Analysis and Its extensions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3705},
}

@inproceedings{neurips2020_online_60503,
  title = {{Online Agnostic Boosting via Regret Minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18061},
}

@inproceedings{neurips2021_asynchronous_62367,
  title = {{Asynchronous Decentralized Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27352},
}

@inproceedings{aaai2024_non_6791,
  title = {{Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29495},
}

@inproceedings{neurips2021_revisiting_63323,
  title = {{Revisiting Smoothed Online Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28816},
}

@inproceedings{neurips2024_private_73250,
  title = {{Private Online Learning via Lazy Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94188},
}

@inproceedings{cvpr2025_label_26712,
  title = {{Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34824},
}

@inproceedings{icml2025_non_47428,
  title = {{Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45165},
}

@inproceedings{icml2026_non_51195,
  title = {{Non-Stationary Online Structured Prediction with Surrogate Losses}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=JchIXIrN4i},
}

@inproceedings{icml2026_dynamic_53116,
  title = {{Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=cGOX9bOWnj},
}

@inproceedings{neurips2024_a_74558,
  title = {{A Simple and Optimal Approach for Universal Online Learning with Gradient Variations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93026},
}

@inproceedings{iclr2024_improved_35280,
  title = {{Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17793},
}

@inproceedings{neurips2024_online_71156,
  title = {{Online Non-convex Learning in Dynamic Environments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96069},
}

@inproceedings{neurips2026_adaptive_93836,
  title = {{Adaptive Random Forests from Online Learning and Testing by Betting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150422},
}