% Key papers for Gaussian process bandit regret (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2016_gaussian_55745,
  title = {{Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6982},
}

@inproceedings{neurips2019_bayesian_57942,
  title = {{Bayesian Optimization under Heavy-tailed Payoffs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14620},
}

@inproceedings{icml2018_tight_37048,
  title = {{Tight Regret Bounds for Bayesian Optimization in One Dimension}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1945},
}

@inproceedings{icml2020_near_38492,
  title = {{Near-linear time Gaussian process optimization with adaptive batching and resparsification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6521},
}

@inproceedings{neurips2021_a_62010,
  title = {{A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26784},
}

@inproceedings{neurips2021_optimal_63274,
  title = {{Optimal Order Simple Regret for Gaussian Process Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27371},
}

@inproceedings{neurips2018_regret_57558,
  title = {{Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11991},
}

@inproceedings{icml2021_value_40095,
  title = {{Value-at-Risk Optimization with Gaussian Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8793},
}

@inproceedings{neurips2021_regret_62783,
  title = {{Regret Bounds for Gaussian-Process Optimization in Large Domains}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28876},
}

@inproceedings{neurips2021_misspecified_63029,
  title = {{Misspecified Gaussian Process Bandit Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28196},
}

@inproceedings{neurips2021_scalable_63093,
  title = {{Scalable Thompson Sampling using Sparse Gaussian Process Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27489},
}

@inproceedings{icml2021_lenient_39555,
  title = {{Lenient Regret and Good-Action Identification in Gaussian Process Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10637},
}

@inproceedings{icml2023_randomized_43208,
  title = {{Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/25089},
}

@inproceedings{neurips2022_augmented_64084,
  title = {{Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53342},
}

@inproceedings{neurips2023_failure_67566,
  title = {{Failure-Aware Gaussian Process Optimization with Regret Bounds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72174},
}

@inproceedings{icml2024_posterior_43821,
  title = {{Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34631},
}

@inproceedings{neurips2022_a_65732,
  title = {{A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53411},
}

@inproceedings{icml2023_global_42725,
  title = {{Global Optimization with Parametric Function Approximation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24329},
}

@inproceedings{icml2024_random_45582,
  title = {{Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32870},
}

@inproceedings{icml2025_improved_49106,
  title = {{Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43519},
}

@inproceedings{icml2026_on_55396,
  title = {{On Regret Bounds of Thompson Sampling for Bayesian Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=yZoB5oNBco},
}

@inproceedings{neurips2025_improved_78656,
  title = {{Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=gxfusMqPIs},
}

@inproceedings{neurips2025_gaussian_79870,
  title = {{Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=tjH0YvT5wv},
}

@inproceedings{iclr2025_bayesian_80792,
  title = {{Bayesian Analysis of Combinatorial Gaussian Process Bandits}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30976},
}

@inproceedings{neurips2026_improved_94410,
  title = {{Improved Regret Analysis For Parallel Gaussian Process Bandit Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153555},
}