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

@inproceedings{neurips2018_multi_57398,
  title = {{Multi-Task Learning as Multi-Objective Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11076},
}

@inproceedings{aaai2017_self_104470,
  title = {{Self-Paced Multi-Task Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10847},
}

@inproceedings{aaai2019_evolutionary_101631,
  title = {{Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4338},
}

@inproceedings{aaai2017_solving_101088,
  title = {{Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10664},
}

@inproceedings{aaai2022_a_1667,
  title = {{A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/10408-a-first-mathematical-runtime-analysis-of-the-non-dominated-sorting-genetic-algorithm-ii-nsga-ii/},
}

@inproceedings{aaai2023_runtime_4568,
  title = {{Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26461},
}

@inproceedings{cvpr2023_independent_21249,
  title = {{Independent Component Alignment for Multi-Task Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21126},
}

@inproceedings{neurips2019_pareto_58790,
  title = {{Pareto Multi-Task Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14173},
}

@inproceedings{iclr2021_learning_30245,
  title = {{Learning the Pareto Front with Hypernetworks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2593},
}

@inproceedings{aaai2021_theoretical_1507,
  title = {{Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12293-theoretical-analyses-of-multi-objective-evolutionary-algorithms-on-multi-modal-objectives/},
}

@inproceedings{aaai2016_multi_105083,
  title = {{Multi-Objective Self-Paced Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10255},
}

@inproceedings{aaai2023_a_3013,
  title = {{A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26460},
}

@inproceedings{aaai2019_running_101039,
  title = {{Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4068},
}

@inproceedings{icml2020_efficient_38142,
  title = {{Efficient Continuous Pareto Exploration in Multi-Task Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5856},
}

@inproceedings{aaai2020_an_101054,
  title = {{An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5612},
}

@inproceedings{aaai2020_modelling_100644,
  title = {{Modelling Diversity of Solutions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5512},
}

@inproceedings{neurips2022_pareto_66324,
  title = {{Pareto Set Learning for Expensive Multi-Objective Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54185},
}

@inproceedings{aaai2023_improving_3888,
  title = {{Improving Pareto Front Learning via Multi-Sample Hypernetworks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25953},
}

@inproceedings{icml2020_on_38553,
  title = {{On the Global Optimality of Model-Agnostic Meta-Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6057},
}

@inproceedings{aaai2024_towards_7619,
  title = {{Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30066},
}

@inproceedings{aaai2024_how_6227,
  title = {{How to Use the Metropolis Algorithm for Multi-Objective Optimization?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30078},
}

@inproceedings{cvpr2024_quantifying_24551,
  title = {{Quantifying Task Priority for Multi-Task Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30572},
}

@inproceedings{aaai2024_scaling_7266,
  title = {{Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30210},
}

@inproceedings{aaai2025_a_7903,
  title = {{A Many-Objective Problem Where Crossover Is Provably Indispensable}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34918},
}

@inproceedings{aaai2025_speeding_10818,
  title = {{Speeding Up the NSGA-II with a Simple Tie-Breaking Rule}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34902},
}

@inproceedings{aaai2025_user_11197,
  title = {{User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34230},
}

@inproceedings{aaai2025_expected_9049,
  title = {{Expected Hypervolume Improvement Is a Particular Hypervolume Improvement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33781},
}

@inproceedings{icml2024_smooth_45263,
  title = {{Smooth Tchebycheff Scalarization for Multi-Objective Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33189},
}

@inproceedings{aaai2026_improved_108660,
  title = {{Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41012},
}

@inproceedings{aaai2026_towards_108690,
  title = {{Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41042},
}

@inproceedings{aaai2026_not_108693,
  title = {{Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41045},
}

@inproceedings{aaai2025_balanced_8228,
  title = {{Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34907},
}

@inproceedings{neurips2024_ferero_71031,
  title = {{FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96178},
}

@inproceedings{neurips2024_gliding_72558,
  title = {{Gliding over the Pareto Front with Uniform Designs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94814},
}

@inproceedings{neurips2024_boundary_73208,
  title = {{Boundary Decomposition for Nadir Objective Vector Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94228},
}

@inproceedings{neurips2026_goal_90079,
  title = {{Goal-Conditioned Supervised Learning for Multi-Objective Recommendation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153765},
}

@inproceedings{aaai2026_superior_108697,
  title = {{Superior Runtime Guarantees for the MOEA/D Multi-Objective Optimizer via Weighted-Sum Decomposition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41049},
}

@inproceedings{aaai2024_flexibo_6027,
  title = {{FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30600},
}

@inproceedings{aaai2025_boundary_8293,
  title = {{Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34925},
}