% Key papers for Instrumental variable estimation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2019_deep_58097,
  title = {{Deep Generalized Method of Moments for Instrumental Variable Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13526},
}

@inproceedings{aaai2023_causal_3243,
  title = {{Causal Inference with Conditional Instruments Using Deep Generative Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25869},
}

@inproceedings{iclr2021_learning_30682,
  title = {{Learning Deep Features in Instrumental Variable Regression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2995},
}

@inproceedings{aaai2024_instrumental_6330,
  title = {{Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29029},
}

@inproceedings{icml2021_valid_40092,
  title = {{Valid Causal Inference with (Some) Invalid Instruments}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10139},
}

@inproceedings{neurips2020_a_59232,
  title = {{A Class of Algorithms for General Instrumental Variable Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16971},
}

@inproceedings{aaai2021_instrumental_791,
  title = {{Instrumental Variable-based Identification for Causal Effects using Covariate Information}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12131-instrumental-variable-based-identification-for-causal-effects-using-covariate-information/},
}

@inproceedings{neurips2020_general_59927,
  title = {{General Control Functions for Causal Effect Estimation from IVs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18159},
}

@inproceedings{iclr2024_conditional_35332,
  title = {{Conditional Instrumental Variable Regression with Representation Learning for Causal Inference}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17741},
}

@inproceedings{icml2023_sequential_42621,
  title = {{Sequential Underspecified Instrument Selection for Cause-Effect Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24993},
}

@inproceedings{icml2024_learning_45099,
  title = {{Learning Decision Policies with Instrumental Variables through Double Machine Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33353},
}

@inproceedings{icml2026_outcome_50784,
  title = {{Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=FiCxlfjkhc},
}

@inproceedings{icml2026_learning_52777,
  title = {{Learning Treatment Representations for Downstream Instrumental Variable Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Yy37YQCvCt},
}

@inproceedings{icml2026_addressing_55523,
  title = {{Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=zxJXgfCm63},
}

@inproceedings{neurips2024_identification_72207,
  title = {{Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95134},
}

@inproceedings{neurips2025_demystifying_79597,
  title = {{Demystifying Spectral Feature Learning for Instrumental Variable Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=r2jhtAD0yZ},
}

@inproceedings{icml2022_instrumental_40711,
  title = {{Instrumental Variable Regression with Confounder Balancing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17635},
}

@inproceedings{icml2023_instrumental_41614,
  title = {{Instrumental Variable Estimation of Average Partial Causal Effects}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24267},
}

@inproceedings{icml2024_conditional_44602,
  title = {{Conditional Common Entropy for Instrumental Variable Testing and Partial Identification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33850},
}