% Key papers for Regret bounds for Bayesian optimization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2020_bayesian_102109,
  title = {{Bayesian Optimization for Categorical and Category-Specific Continuous Inputs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5971},
}

@inproceedings{icml2017_counterfactual_36122,
  title = {{Counterfactual Data-Fusion for Online Reinforcement Learners}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/872},
}

@inproceedings{icml2019_myopic_37561,
  title = {{Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3616},
}

@inproceedings{icml2016_minimum_35906,
  title = {{Minimum Regret Search for Single- and Multi-Task Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/metzen16.html},
}

@inproceedings{aaai2024_learning_6451,
  title = {{Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30069},
}

@inproceedings{icml2023_meta_42644,
  title = {{Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24902},
}

@inproceedings{neurips2020_sequential_60818,
  title = {{Sequential Bayesian Experimental Design with Variable Cost Structure}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18151},
}

@inproceedings{aaai2020_experimental_103333,
  title = {{Experimental Design for Optimization of Orthogonal Projection Pursuit Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6585},
}

@inproceedings{neurips2018_scalar_57606,
  title = {{Scalar Posterior Sampling with Applications}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11738},
}

@inproceedings{neurips2022_movement_64375,
  title = {{Movement Penalized Bayesian Optimization with Application to Wind Energy Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53413},
}

@inproceedings{neurips2022_bandit_65532,
  title = {{Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53784},
}

@inproceedings{neurips2023_quantum_68510,
  title = {{Quantum Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71313},
}

@inproceedings{aaai2022_procrastinated_2584,
  title = {{Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/10381-procrastinated-tree-search-black-box-optimization-with-delayed-noisy-and-multi-fidelity-feedback/},
}

@inproceedings{aaai2024_tree_7652,
  title = {{Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29386},
}

@inproceedings{aaai2025_context_8517,
  title = {{Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35039},
}

@inproceedings{icml2022_bayesian_40280,
  title = {{Bayesian Optimization under Stochastic Delayed Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17789},
}

@inproceedings{neurips2022_escada_64582,
  title = {{ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53294},
}

@inproceedings{aaai2025_bayesian_8236,
  title = {{Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34906},
}

@inproceedings{iclr2024_making_34378,
  title = {{Making RL with Preference-based Feedback Efficient via Randomization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18697},
}

@inproceedings{icml2021_bayesian_39087,
  title = {{Bayesian Optimistic Optimisation with Exponentially Decaying Regret}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9763},
}

@inproceedings{icml2024_two_43732,
  title = {{Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34720},
}

@inproceedings{icml2024_principled_44694,
  title = {{Principled Preferential Bayesian Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33758},
}

@inproceedings{icml2025_bayesian_49012,
  title = {{Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43611},
}

@inproceedings{icml2026_divide_52170,
  title = {{Divide and Learn: Multi-Objective Combinatorial Optimization at Scale}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=TK82ECnJzD},
}

@inproceedings{icml2026_f_52652,
  title = {{\$f\$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=XrtiZYwcU4},
}

@inproceedings{icml2026_robust_55506,
  title = {{Robust Bayesian Optimisation with Unbounded Corruptions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=zlnoC4YPQ1},
}

@inproceedings{neurips2024_stabilizing_71264,
  title = {{Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95981},
}

@inproceedings{neurips2024_active_71365,
  title = {{Active Set Ordering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95884},
}

@inproceedings{neurips2024_sequential_72974,
  title = {{Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94442},
}

@inproceedings{neurips2024_bayesian_73200,
  title = {{Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94234},
}

@inproceedings{neurips2025_sparse_79458,
  title = {{Sparse Optimistic Information Directed Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=pcLsaspXSi},
}

@inproceedings{neurips2026_bayesian_91363,
  title = {{Bayesian Decision Making around Experts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/149882},
}

@inproceedings{aaai2026_quantum_107388,
  title = {{Quantum Non-Linear Bandit Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39740},
}

@inproceedings{iclr2025_brain_82144,
  title = {{Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29647},
}

@inproceedings{neurips2026_regret_95023,
  title = {{Regret-Based \$(epsilon,delta)\$-optimal Stopping Criteria for Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152096},
}