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

@inproceedings{neurips2017_causal_56189,
  title = {{Causal Effect Inference with Deep Latent-Variable Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9414},
}

@inproceedings{aaai2017_treatment_99771,
  title = {{Treatment Effect Estimation with Data-Driven Variable Decomposition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10480},
}

@inproceedings{neurips2018_causal_56937,
  title = {{Causal Inference with Noisy and Missing Covariates via Matrix Factorization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11667},
}

@inproceedings{aaai2017_causal_103361,
  title = {{Causal Effect Identification by Adjustment under Confounding and Selection Biases}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11060},
}

@inproceedings{aaai2020_estimating_103327,
  title = {{Estimating Causal Effects Using Weighting-Based Estimators}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6579},
}

@inproceedings{aaai2021_bounding_211,
  title = {{Bounding Causal Effects on Continuous Outcome}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12207-bounding-causal-effects-on-continuous-outcome/},
}

@inproceedings{neurips2020_sense_60816,
  title = {{Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17520},
}

@inproceedings{aaai2023_estimating_3589,
  title = {{Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26657},
}

@inproceedings{aaai2023_disentangled_3477,
  title = {{Disentangled Representation for Causal Mediation Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26266},
}

@inproceedings{aaai2023_estimating_3588,
  title = {{Estimating Average Causal Effects from Patient Trajectories}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25921},
}

@inproceedings{aaai2020_a_102126,
  title = {{A Bayesian Approach for Estimating Causal Effects from Observational Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5988},
}

@inproceedings{icml2020_causal_38003,
  title = {{Causal Inference using Gaussian Processes with Structured Latent Confounders}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6593},
}

@inproceedings{icml2021_quantifying_39837,
  title = {{Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10143},
}

@inproceedings{icml2022_validating_41329,
  title = {{Validating Causal Inference Methods}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16511},
}

@inproceedings{aaai2019_counterfactual_101217,
  title = {{Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4090},
}

@inproceedings{neurips2019_assessing_57915,
  title = {{Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13518},
}

@inproceedings{neurips2016_long_55858,
  title = {{Long-term Causal Effects via Behavioral Game Theory}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7269},
}

@inproceedings{iclr2023_causal_32340,
  title = {{Causal Estimation for Text Data with (Apparent) Overlap Violations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11330},
}

@inproceedings{neurips2021_identification_61961,
  title = {{Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27202},
}

@inproceedings{neurips2022_deep_64273,
  title = {{Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54852},
}

@inproceedings{neurips2024_addressing_70576,
  title = {{Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96541},
}

@inproceedings{aaai2024_discovering_5704,
  title = {{Discovering Heterogeneous Causal Effects in Relational Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30387},
}

@inproceedings{aaai2024_the_7536,
  title = {{The Causal Impact of Credit Lines on Spending Distributions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27769},
}

@inproceedings{neurips2024_proximal_71656,
  title = {{Proximal Causal Inference With Text Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95623},
}

@inproceedings{iclr2024_space_33924,
  title = {{SpaCE: The Spatial Confounding Environment}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19151},
}

@inproceedings{icml2024_prediction_44362,
  title = {{Prediction-powered Generalization of Causal Inferences}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34090},
}

@inproceedings{icml2024_automating_44555,
  title = {{Automating the Selection of Proxy Variables of Unmeasured Confounders}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33897},
}

@inproceedings{icml2024_inferring_45236,
  title = {{Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33216},
}

@inproceedings{icml2025_adjustment_46540,
  title = {{Adjustment for Confounding using Pre-Trained Representations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46028},
}

@inproceedings{icml2025_isolated_47716,
  title = {{Isolated Causal Effects of Natural Language}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44884},
}

@inproceedings{icml2025_falsification_48357,
  title = {{Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44259},
}

@inproceedings{icml2026_towards_49509,
  title = {{Towards a Holistic Understanding of Selection Bias for Causal Effect Identification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=39650lCGDP},
}

@inproceedings{icml2026_many_53587,
  title = {{Many Experiments, Few Repetitions, Unpaired Data, and Sparse Effects: Is Causal Inference Possible?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=gqa99Ev4C4},
}

@inproceedings{icml2026_local_54593,
  title = {{Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=qZVcGlU5lN},
}

@inproceedings{neurips2024_fast_71087,
  title = {{Fast Proxy Experiment Design for Causal Effect Identification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96127},
}

@inproceedings{neurips2024_towards_74261,
  title = {{Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93295},
}

@inproceedings{neurips2025_conformal_74850,
  title = {{Conformal Prediction for Causal Effects of Continuous Treatments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=1nL84tQNnK},
}

@inproceedings{neurips2025_path_74912,
  title = {{Path-specific effects for pulse-oximetry guided decisions in critical care}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=2XelsPmKV1},
}

@inproceedings{neurips2025_when_75039,
  title = {{When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=3fpYXmBiTY},
}

@inproceedings{neurips2025_a_75435,
  title = {{A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=867TaCMfCj},
}