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

@inproceedings{icml2016_predictive_35954,
  title = {{Predictive Entropy Search for Multi-objective Bayesian Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/hernandez-lobatoa16.html},
}

@inproceedings{neurips2020_differentiable_59696,
  title = {{Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17312},
}

@inproceedings{icml2018_batch_36537,
  title = {{Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1919},
}

@inproceedings{neurips2019_max_58579,
  title = {{Max-value Entropy Search for Multi-Objective Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13860},
}

@inproceedings{aaai2020_uncertainty_103310,
  title = {{Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6561},
}

@inproceedings{aaai2020_multi_103309,
  title = {{Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6560},
}

@inproceedings{neurips2020_diversity_59732,
  title = {{Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17801},
}

@inproceedings{neurips2021_parallel_61544,
  title = {{Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26635},
}

@inproceedings{icml2016_pareto_35945,
  title = {{Pareto Frontier Learning with Expensive Correlated Objectives}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/shahc16.html},
}

@inproceedings{icml2020_multi_38477,
  title = {{Multi-objective Bayesian Optimization using Pareto-frontier Entropy}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6773},
}

@inproceedings{neurips2022_joint_65275,
  title = {{Joint Entropy Search for Multi-Objective Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55289},
}

@inproceedings{aaai2024_are_5207,
  title = {{Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29331},
}

@inproceedings{aaai2024_pareto_6926,
  title = {{Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28951},
}

@inproceedings{aaai2024_multi_6701,
  title = {{Multi-Objective Bayesian Optimization with Active Preference Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29364},
}

@inproceedings{icml2019_bayesian_37184,
  title = {{Bayesian Optimization of Composite Functions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3963},
}

@inproceedings{neurips2023_sample_69812,
  title = {{Sample-efficient Multi-objective Molecular Optimization with GFlowNets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70137},
}

@inproceedings{aaai2025_expensive_9050,
  title = {{Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34913},
}

@inproceedings{aaai2025_improving_9537,
  title = {{Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34167},
}

@inproceedings{aaai2025_multi_10024,
  title = {{Multi-Objective Molecular Design Through Learning Latent Pareto Set}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34092},
}

@inproceedings{icml2024_botied_44872,
  title = {{BOtied: Multi-objective Bayesian optimization with tied multivariate ranks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33580},
}

@inproceedings{icml2025_multi_48773,
  title = {{Multi-Objective Causal Bayesian Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43849},
}

@inproceedings{aaai2024_preference_6982,
  title = {{Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30418},
}

@inproceedings{neurips2025_covering_76436,
  title = {{Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=JML6Zi5J0s},
}

@inproceedings{neurips2025_bayesian_78948,
  title = {{Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=k1sAEsMeyV},
}

@inproceedings{neurips2025_fseo_80045,
  title = {{FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=vYgkWtq6F1},
}

@inproceedings{neurips2026_smog_91943,
  title = {{SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151366},
}

@inproceedings{neurips2026_simple_93701,
  title = {{Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151368},
}

@inproceedings{aaai2026_parametric_108657,
  title = {{Parametric Pareto Set Learning for Expensive Multi-Objective Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41009},
}

@inproceedings{aaai2025_trading_11084,
  title = {{Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34909},
}

@inproceedings{icml2026_probability_51957,
  title = {{Probability of Matching for Batch Multi-Objective Bayesian Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=RS1rsq6gmA},
}

@inproceedings{icml2026_multi_54923,
  title = {{Multi-Objective Bayesian Optimization via Adaptive \$varepsilon\$-Constraint Decomposition}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=tu7eFWXBiN},
}

@inproceedings{iclr2026_task_88589,
  title = {{Task-Agnostic Amortized Multi-Objective Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=odmeUlWta8},
}