% Key papers for Confidence intervals and OPE benchmarks (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2021_empirical_61873,
  title = {{Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=IsK8iKbL-I},
}

@inproceedings{neurips2019_intrinsically_58430,
  title = {{Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13510},
}

@inproceedings{neurips2017_using_56757,
  title = {{Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9036},
}

@inproceedings{neurips2020_off_60449,
  title = {{Off-Policy Evaluation and Learning for External Validity under a Covariate Shift}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17372},
}

@inproceedings{aaai2023_policy_4383,
  title = {{Policy-Adaptive Estimator Selection for Off-Policy Evaluation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26195},
}

@inproceedings{icml2020_accountable_37900,
  title = {{Accountable Off-Policy Evaluation With Kernel Bellman Statistics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6683},
}

@inproceedings{icml2022_off_40909,
  title = {{Off-Policy Evaluation for Large Action Spaces via Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16729},
}

@inproceedings{neurips2021_universal_61169,
  title = {{Universal Off-Policy Evaluation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28799},
}

@inproceedings{icml2021_optimal_39746,
  title = {{Optimal Off-Policy Evaluation from Multiple Logging Policies}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10615},
}

@inproceedings{icml2022_doubly_40477,
  title = {{Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16749},
}

@inproceedings{neurips2023_state_69427,
  title = {{State-Action Similarity-Based Representations for Off-Policy Evaluation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70482},
}

@inproceedings{iclr2021_non_30479,
  title = {{Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2875},
}

@inproceedings{icml2021_state_39981,
  title = {{State Relevance for Off-Policy Evaluation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9393},
}

@inproceedings{icml2022_supervised_41227,
  title = {{Supervised Off-Policy Ranking}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18343},
}

@inproceedings{neurips2022_off_66263,
  title = {{Off-Policy Evaluation with Deficient Support Using Side Information}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53478},
}

@inproceedings{iclr2024_towards_35661,
  title = {{Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17412},
}

@inproceedings{icml2022_off_40910,
  title = {{Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17759},
}

@inproceedings{icml2023_an_42521,
  title = {{An Instrumental Variable Approach to Confounded Off-Policy Evaluation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24196},
}

@inproceedings{icml2025_off_47386,
  title = {{Off-Policy Evaluation under Nonignorable Missing Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45206},
}

@inproceedings{icml2026_off_54803,
  title = {{Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=srIStBTJiu},
}

@inproceedings{neurips2025_stitch_75663,
  title = {{STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=AghtKxDf7f},
}

@inproceedings{neurips2025_a_76223,
  title = {{A Principled Path to Fitted Distributional Evaluation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Gte3F0ONhr},
}

@inproceedings{neurips2025_model_78606,
  title = {{Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=gQ8kIhu8JA},
}

@inproceedings{iclr2025_cross_82564,
  title = {{Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29233},
}

@inproceedings{iclr2026_off_84241,
  title = {{Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=0ZkWWxcHKV},
}

@inproceedings{icml2026_partial_50316,
  title = {{Partial Identification of Policy Values under Network Interference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=BAxL3dqhLn},
}

@inproceedings{neurips2026_off_94701,
  title = {{Off-Policy Evaluation of Large Language Models via Learned Semantic Bottleneck Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153404},
}