% Key papers for Predict-then-optimize learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2017_deepcoder_28243,
  title = {{DeepCoder: Learning to Write Programs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=ByldLrqlx},
}

@inproceedings{aaai2019_learning_100622,
  title = {{Learning Optimal Classification Trees Using a Binary Linear Program Formulation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3978},
}

@inproceedings{icml2018_differentiable_36636,
  title = {{Differentiable Dynamic Programming for Structured Prediction and Attention}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2114},
}

@inproceedings{neurips2020_interior_60097,
  title = {{Interior Point Solving for LP-based prediction+optimisation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18147},
}

@inproceedings{aaai2020_dynamic_100634,
  title = {{Dynamic Programming for Predict+Optimise}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5502},
}

@inproceedings{neurips2019_a_57845,
  title = {{A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14006},
}

@inproceedings{neurips2016_large_55806,
  title = {{Large-Scale Price Optimization via Network Flow}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7419},
}

@inproceedings{aaai2020_deep_100914,
  title = {{Deep Learning—Powered Iterative Combinatorial Auctions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5606},
}

@inproceedings{aaai2018_efficiently_106152,
  title = {{Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11347},
}

@inproceedings{neurips2016_sdp_55971,
  title = {{SDP Relaxation with Randomized Rounding for Energy Disaggregation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7227},
}

@inproceedings{aaai2021_a_46,
  title = {{A Scalable Two Stage Approach to Computing Optimal Decision Sets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03806-a-scalable-two-stage-approach-to-computing-optimal-decision-sets/},
}

@inproceedings{neurips2020_a_59267,
  title = {{A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17037},
}

@inproceedings{neurips2016_assortment_55583,
  title = {{Assortment Optimization Under the Mallows model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7349},
}

@inproceedings{neurips2016_pruning_55949,
  title = {{Pruning Random Forests for Prediction on a Budget}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7378},
}

@inproceedings{neurips2017_inference_56382,
  title = {{Inference in Graphical Models via Semidefinite Programming Hierarchies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8838},
}

@inproceedings{neurips2020_learning_60179,
  title = {{Learning Linear Programs from Optimal Decisions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18206},
}

@inproceedings{neurips2022_neur2sp_64492,
  title = {{Neur2SP: Neural Two-Stage Stochastic Programming}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54695},
}

@inproceedings{icml2020_eclipse_38140,
  title = {{ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6728},
}

@inproceedings{neurips2016_learning_55837,
  title = {{Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/8515},
}

@inproceedings{iclr2022_neural_31450,
  title = {{Neural Stochastic Dual Dynamic Programming}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6655},
}

@inproceedings{aaai2024_optimal_6867,
  title = {{Optimal Survival Trees: A Dynamic Programming Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29163},
}

@inproceedings{aaai2024_decision_5617,
  title = {{Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30195},
}

@inproceedings{aaai2024_doge_5571,
  title = {{DOGE-Train: Discrete Optimization on GPU with End-to-End Training}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30048},
}

@inproceedings{aaai2024_learning_6508,
  title = {{Learning to Pivot as a Smart Expert}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28646},
}

@inproceedings{neurips2024_neural_73044,
  title = {{Neural Krylov Iteration for Accelerating Linear System Solving}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94379},
}

@inproceedings{neurips2024_multi_73968,
  title = {{Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93545},
}

@inproceedings{aaai2025_learning_9754,
  title = {{Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33208},
}

@inproceedings{aaai2025_optimal_10210,
  title = {{Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33210},
}

@inproceedings{icml2024_adaptive_43579,
  title = {{Adaptive Stabilization Based on Machine Learning for Column Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34873},
}

@inproceedings{neurips2024_learning_72498,
  title = {{Learning Generalized Linear Programming Value Functions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94865},
}

@inproceedings{icml2024_pdhg_43355,
  title = {{PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35097},
}

@inproceedings{icml2025_inverse_48408,
  title = {{Inverse Optimization via Learning Feasible Regions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44209},
}

@inproceedings{icml2026_learning_49256,
  title = {{Learning to Approximate Uniform Facility Location via Graph Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=0dmd06JuBr},
}

@inproceedings{icml2026_a_49463,
  title = {{A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=2jpMiRwsrL},
}

@inproceedings{icml2026_provably_51696,
  title = {{Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=OwLuqetJuB},
}

@inproceedings{icml2026_a_52242,
  title = {{A Solver-Free Training Method for Predict-then-Optimize}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Tz69nG4l87},
}

@inproceedings{icml2026_learning_53622,
  title = {{Learning Randomized Reductions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=hCAEcqig2C},
}

@inproceedings{icml2026_conformal_54282,
  title = {{Conformal Prediction for Early Stopping in Mixed Integer Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=nXsHRrysJX},
}

@inproceedings{neurips2024_dual_73295,
  title = {{Dual Lagrangian Learning for Conic Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94146},
}

@inproceedings{neurips2024_sample_74284,
  title = {{Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93274},
}