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

@inproceedings{icml2019_orthogonal_37634,
  title = {{Orthogonal Random Forest for Causal Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4078},
}

@inproceedings{neurips2017_learning_56438,
  title = {{Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8908},
}

@inproceedings{neurips2021_a_61775,
  title = {{A/B Testing for Recommender Systems in a Two-sided Marketplace}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27986},
}

@inproceedings{icml2018_orthogonal_36907,
  title = {{Orthogonal Machine Learning: Power and Limitations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2409},
}

@inproceedings{aaai2023_counterfactuals_3354,
  title = {{Counterfactuals for the Future}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26655},
}

@inproceedings{aaai2024_probabilities_6995,
  title = {{Probabilities of Causation with Nonbinary Treatment and Effect}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30030},
}

@inproceedings{neurips2023_double_68826,
  title = {{Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71028},
}

@inproceedings{icml2021_conditional_39154,
  title = {{Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8681},
}

@inproceedings{aaai2020_a_103342,
  title = {{A New Framework for Online Testing of Heterogeneous Treatment Effect}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6594},
}

@inproceedings{icml2020_estimating_38173,
  title = {{Estimating the Number and Effect Sizes of Non-null Hypotheses}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6165},
}

@inproceedings{iclr2024_independent_35567,
  title = {{Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17506},
}

@inproceedings{icml2024_estimating_44394,
  title = {{Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34058},
}

@inproceedings{icml2025_on_48344,
  title = {{On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44271},
}

@inproceedings{neurips2020_a_59302,
  title = {{A/B Testing in Dense Large-Scale Networks: Design and Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18947},
}

@inproceedings{aaai2025_abc3_7949,
  title = {{ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34880},
}

@inproceedings{icml2024_active_44097,
  title = {{Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34355},
}

@inproceedings{icml2025_integer_47194,
  title = {{Integer Programming for Generalized Causal Bootstrap Designs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45393},
}

@inproceedings{neurips2023_should_66586,
  title = {{Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73031},
}

@inproceedings{neurips2023_marginal_69422,
  title = {{Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70487},
}

@inproceedings{neurips2023_optimized_70080,
  title = {{Optimized Covariance Design for AB Test on Social Network under Interference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/69894},
}

@inproceedings{neurips2024_using_71267,
  title = {{Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95978},
}

@inproceedings{neurips2025_beyond_76103,
  title = {{Beyond the Average: Distributional Causal Inference under Imperfect Compliance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=FWWZgavvBe},
}

@inproceedings{iclr2025_interference_80892,
  title = {{Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30875},
}

@inproceedings{icml2024_not_43325,
  title = {{Not all distributional shifts are equal: Fine-grained robust conformal inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35127},
}

@inproceedings{icml2024_allocation_44589,
  title = {{Allocation Requires Prediction Only if Inequality Is Low}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33863},
}

@inproceedings{icml2025_strategic_46480,
  title = {{Strategic A/B testing via Maximum Probability-driven Two-armed Bandit}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46086},
}

@inproceedings{icml2025_double_48101,
  title = {{Double Machine Learning for Causal Inference under Shared-State Interference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44507},
}

@inproceedings{icml2026_design_50768,
  title = {{Design-Based Anytime-Valid Inference for Randomized Experiments with Delayed Outcomes and Staggered Entry}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=FXWnvznHMW},
}

@inproceedings{icml2026_sinkhorn_50974,
  title = {{Sinkhorn Treatment Effects: A Causal Optimal Transport Measure}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=HdhEFfEsoz},
}

@inproceedings{icml2026_estimation_52565,
  title = {{Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=XEbD5cYpgV},
}

@inproceedings{neurips2025_doubly_74698,
  title = {{Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=0GDlX9JFf2},
}

@inproceedings{neurips2025_efficient_77037,
  title = {{Efficient Adaptive Experimentation with Noncompliance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Pn8UB4PmbF},
}

@inproceedings{neurips2025_online_78314,
  title = {{Online Experimental Design With Estimation-Regret Trade-off Under Network Interference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=dH6KDsG5GK},
}