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

@inproceedings{aaai2020_smart_100653,
  title = {{Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5521},
}

@inproceedings{aaai2020_neural_99996,
  title = {{Neural Approximate Dynamic Programming for On-Demand Ride-Pooling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5388},
}

@inproceedings{neurips2022_sample_66447,
  title = {{Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55755},
}

@inproceedings{neurips2016_bayesian_55597,
  title = {{Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7041},
}

@inproceedings{aaai2019_improving_100600,
  title = {{Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3956},
}

@inproceedings{cvpr2023_slimmable_22223,
  title = {{Slimmable Dataset Condensation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22499},
}

@inproceedings{neurips2022_efficient_64867,
  title = {{Efficient and Modular Implicit Differentiation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54915},
}

@inproceedings{aaai2017_efficient_101081,
  title = {{Efficient Parameter Importance Analysis via Ablation with Surrogates}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10657},
}

@inproceedings{aaai2021_escaping_537,
  title = {{Escaping Local Optima with Non-Elitist Evolutionary Algorithms}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12275-escaping-local-optima-with-non-elitist-evolutionary-algorithms/},
}

@inproceedings{icml2017_distributed_36159,
  title = {{Distributed Batch Gaussian Process Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/689},
}

@inproceedings{neurips2016_multistage_55885,
  title = {{Multistage Campaigning in Social Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7379},
}

@inproceedings{aaai2020_a_102701,
  title = {{A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6198},
}

@inproceedings{aaai2020_runtime_101057,
  title = {{Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5615},
}

@inproceedings{cvpr2019_practical_14662,
  title = {{Practical Coding Function Design for Time-Of-Flight Imaging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2019_fuzzy_101052,
  title = {{Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4084},
}

@inproceedings{aaai2020_index_100305,
  title = {{Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5478},
}

@inproceedings{aaai2021_robust_1289,
  title = {{Robust Finite-State Controllers for Uncertain POMDPs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11792-robust-finite-state-controllers-for-uncertain-pomdps/},
}

@inproceedings{aaai2021_constrained_300,
  title = {{Constrained Risk-Averse Markov Decision Processes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11718-constrained-risk-averse-markov-decision-processes/},
}

@inproceedings{neurips2022_end_64464,
  title = {{End-to-end Symbolic Regression with Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55286},
}

@inproceedings{aaai2019_b_101040,
  title = {{Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4069},
}

@inproceedings{aaai2024_e2e_5774,
  title = {{E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29556},
}

@inproceedings{aaai2024_robust_7167,
  title = {{Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28634},
}

@inproceedings{aaai2024_parallel_6920,
  title = {{Parallel Empirical Evaluations: Resilience despite Concurrency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28638},
}

@inproceedings{aaai2025_fast_9144,
  title = {{Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34897},
}

@inproceedings{aaai2024_using_7733,
  title = {{Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28647},
}

@inproceedings{aaai2025_metasymnet_9946,
  title = {{MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34915},
}

@inproceedings{neurips2024_safe_74556,
  title = {{Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93028},
}

@inproceedings{aaai2024_paths_6937,
  title = {{Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30068},
}

@inproceedings{aaai2025_constrained_8510,
  title = {{Constrained Offline Black-Box Optimization via Risk Evaluation and Management}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34470},
}

@inproceedings{aaai2025_constraint_8511,
  title = {{Constraint Optimisation Approaches for Designing Group-Living Captive Breeding Programmes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35016},
}

@inproceedings{aaai2025_scenario_10692,
  title = {{Scenario-Based Robust Optimization of Tree Structures}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34894},
}

@inproceedings{icml2025_bilbo_46280,
  title = {{BILBO: BILevel Bayesian Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46280},
}

@inproceedings{neurips2024_accelerating_70182,
  title = {{Accelerating Matroid Optimization through Fast Imprecise Oracles}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96902},
}

@inproceedings{neurips2024_warm_72695,
  title = {{Warm-starting Push-Relabel}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94691},
}

@inproceedings{neurips2024_constrained_73849,
  title = {{Constrained Binary Decision Making}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93660},
}

@inproceedings{neurips2025_what_76850,
  title = {{What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=NXkUWAxSEH},
}

@inproceedings{neurips2025_engibench_77899,
  title = {{EngiBench: A Framework for Data-Driven Engineering Design Research}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=YowD33Q89V},
}

@inproceedings{neurips2025_feasibility_78427,
  title = {{Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=eTmvwxohRx},
}

@inproceedings{neurips2025_combining_78703,
  title = {{Combining Cost Constrained Runtime Monitors for AI Safety}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=hVR3023UP2},
}

@inproceedings{neurips2025_a_79485,
  title = {{A Partition Cover Approach to Tokenization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=prGyR9id7X},
}