Causal Inferences

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7 papers in the last 28 days · 0.2% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Causal Structure and ReasoningCausal DiscoveryCovariate ShiftStructural Causal ModelHeterogeneous Treatment EffectsCausal GraphCausal InterventionTreatment

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Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Causal Inferences.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Causal Inferences.

103 papers

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  1. Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact

    Sep 12, 2026Masahiro Kato, Daiki Honma, Taka KatoGenerativeBrand Pairs

  2. CausalVerify: An Execution-Grounded Benchmark for LLM Causal Inference Workflows

    Sep 7, 2026Yonghong Zhang, Ricardo Correia, Isabel M. Parra +1Causal InferencesCorrectness

  3. Portable Causal Fairness Across Synthetic Data Generator Families

    Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockFairness-Aware LearningSynthetic Data

  4. Causal Foundation Models

    Sep 2, 2026Christopher Stith, Hossein Rahmani, Jesse C. CresswellCausal InferencesCausal Discovery

  5. Exploring Sparse Autoencoders in Text-Based Causal Confounding Adjustment

    Sep 1, 2026Mian Zhong, Katherine A. Keith, Anjalie FieldLatent ConfoundersCausal Inferences

  6. When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation

    Aug 30, 2026Cong CaoCausal InferencesCalibrated Predictors

  7. Debiased Inference for AI-Generated Data without Gold-Standard Labels: Identification via Multiple Imperfect Measurements

    Aug 18, 2026Naoki Egami, Sooahn ShinCausal InferencesConditional Independence

  8. Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference

    Aug 13, 2026Junzhi Li, Peng He, Qirui Ji +3Communication TopologiesInformation-Flow Control

  9. Causal inference for group-contaminated structured outcomes: observable quotients, lossless reduction and exact randomization inference

    Aug 12, 2026Usef Faghihi, Amir SakiCausal InferencesControlled Study

  10. Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey

    Aug 11, 2026Pavel Averin, Theodoros Moysiadis, Ioannis KatakisConditional IndependenceCausal Discovery

  11. From Prediction to Incrementality: Causal Optimization for Large-Scale Targeting and Recommendation

    Aug 10, 2026Changshuai Wei, John Bencina, Phuc Nguyen +2Causal InferencesHeterogeneous Treatment Effects

  12. Causal State-Space Model for Causal Inference: Estimating Longitudinal Individual Treatment Effects

    Aug 8, 2026Abisoye Abidakun, Mingjun Zhong, Georgios LeontidisCausal InferencesHeterogeneous Treatment Effects

  13. A Unified Causal Inference Framework for the Desirability of Outcome Ranking Paradigm in Benefit-Risk Evaluation

    Aug 5, 2026Yuan Feng, Shiyu Shu, Yixin Fang +4Heterogeneous Treatment EffectsCausal Inferences

  14. Causal Inference with Unstructured Outcomes

    Aug 4, 2026Kevin Christian Wibisono, Yixin WangCausal InferencesHeterogeneous Treatment Effects

  15. Spatiotemporal Proximal Causal Inference under Hidden Confounding and Interference

    Aug 2, 2026Omar Faruque, Pavan Raj Ravi, Jianwu WangCausal InferencesLatent Confounders

  16. Causal Inference with Unstructured Treatments

    Aug 1, 2026Kevin Christian Wibisono, Yixin WangCausal InferencesHeterogeneous Treatment Effects

  17. Doubly Robust Functional Representation Learning for Longitudinal Causal Inference with Irregular Histories

    Jul 30, 2026Mengfei Ran, Yifeng Shen, Ruijie GuanCausal InferencesEstimators

  18. Multi-channel Uplift Policy Learning

    Jul 30, 2026Changjian Liu, Tianyu Wang, Xiaoxuan Deng +7RiseLearning-Augmented Algorithms

  19. Eco3S: Complex Socio-Economic System Simulation via Agent-Based Models

    Jul 29, 2026Shaopeng Wei, Yufei Cheng, Wenxi Sun +3Agent-Based ModelEcosystems

  20. DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series

    Jul 29, 2026Dennis Thumm, Billy Tim Anthony, Ying ChenCausal InferencesSynthetic Time Series

  21. The Confounder Trap: Treatment-Encoding Representations in Causal Inference with Text

    Jul 28, 2026Marie Neubrander, Graham Tierney, Alexander VolfovskyLatent ConfoundersCausal Inferences

  22. CausalSmith: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference

    Jul 24, 2026Jiyuan Tan, Vasilis SyrgkanisAutoresearchCausal Inferences

  23. Interventional Score Geometry for Causal Inference

    Jul 24, 2026Mojtaba EslamiCausal Inferences

  24. Data-Poisoning Audits for Causal Effect Estimation

    Jul 22, 2026Kwangho KimCausal InferencesAlgorithm Auditing

  25. Vector Search As Nearest Neighbor Matching: RAG-based Policy Learning in Causal Inference

    Jul 20, 2026Masahiro Kato, Taka KatoCausal InferencesHievi-Rag

  26. Causal Inference for Sequential Settings under Interference and Latent Confounding

    Jul 16, 2026Phevos Paschalidis, Constantinos Daskalakis, Devavrat ShahCausal InferencesLatent Confounders

  27. PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference

    Jul 15, 2026Xutao Wang, Hanting Chen, Tianyu Guo +1Unlabeled DataPropensity

  28. Demonstration of the common dual-channel feature decoupling characteristic of front-door mediation causal inference methods in whole-slice image classification

    Jul 14, 2026Zhirui Zhang, Tianhang Nan, Yong Ding +3Multiple Instance LearningDigital Pathology

  29. Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration

    Jul 9, 2026Amir Asiaee, Kaveh AryanCausal InferencesSynthetic Data

  30. Geometric Causal Models

    Jul 6, 2026Eli N. Weinstein, David M. BleiStructural Causal ModelCausal Inferences

  31. CausalMix: Data Mixture as Causal Inference for Language Model Training

    Jul 1, 2026Zinan Tang, Yukun Zhang, Shaomian Zheng +6MixturesCausal Inferences

  32. Understanding Guest Preferences and Optimizing Two-sided Marketplaces: Airbnb as an Example

    Jul 1, 2026Yufei Wu, Daniel SchmiererCausal Inferences

  33. Estimating Supply Incrementality in Two-sided Marketplaces: A Causal Machine Learning Approach

    Jun 30, 2026Yufei Wu, Daniel Schmierer, Dan ZylberglejdMatching MarketsCausal Inferences

  34. Hierarchical Clustering As a Novel Solution to the Notorious Multicollinearity Problem in Observational Causal Inference

    Jun 30, 2026Yufei Wu, Zhiying Gu, Alex Deng +2Causal InferencesObservational Data

  35. Doubly Robust Adaptive Conformal Inference for Causal Effects Under Temporal Dependence

    Jun 29, 2026Andreas Koukorinis, Ricardo SilvaCausal InferencesConformal Inference

  36. A causal modeling perspective on decision theory

    Jun 29, 2026Arvid SjölanderStructural Causal ModelDecisions

  37. Lifted Causal Inference

    Jun 26, 2026Malte Luttermann, Tanya Braun, Ralf Möller +1Causal GraphCausal Inferences

  38. An Introduction to Causal Reinforcement Learning

    Jun 23, 2026Elias Bareinboim, Junzhe Zhang, Sanghack LeeCausal InferencesCausal Structure and Reasoning

  39. Two Layers of Instability in Causal Estimation

    Jun 19, 2026Alexis BellotCausal InferencesEstimators

  40. Wasserstein Policy Learning for Distributional Outcomes

    Jun 17, 2026Yiyan Huang, Cheuk Hang Leung, Qi Wu +1Optimal PoliciesCausal Inferences

  41. Estimating the Effect of Timing on Coupon Effectiveness

    Jun 17, 2026Deddy JobsonClick-Through Rate PredictionCausal Inferences

  42. The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance

    Jun 15, 2026Csaba Kiss, Roland Molontay, Gabriele PergolaCausal InferencesModel Selection

  43. From Correlation to Causation in Lane Change Prediction for Automated Driving: A Causal Explanation Framework

    Jun 14, 2026Mohamed Manzour, Aditya Kumar, Augusto Luis Ballardini +1Causal Structure and ReasoningTrajectory Prediction

  44. Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression

    Jun 11, 2026Masahiro KatoCausal InferencesEstimators

  45. Automatic, Debiased, and Invariant Counterfactual Generation under General Interventions

    Jun 5, 2026Raphael C Kim, Jingsen Zhu, Ramin Zabih +1Causal InferencesCounterfactual Framework

  46. Transfer learning for causal forest

    Jun 5, 2026Bérénice-Alexia Jocteur, Véronique Maume-Deschamps, Pierre RibereauCausal InferencesHeterogeneous Treatment Effects

  47. Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data

    Jun 4, 2026Maryam Babaei, Yingke Wang, Hadrien Lautraite +3Membership Inference AttacksSynthetic Data

  48. Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction

    Jun 4, 2026Amirhossein Zare, Amirhessam Zare, Herlock Rahimi +2Causal InferencesTabular Prior-Data Fitted Network

  49. Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions

    Jun 4, 2026Wenhao Mu, Facundo Yan, Anik Mumssen +2Epidemic ForecastingCausal Inferences

  50. Validity Threats for Foundation Model Research

    Jun 3, 2026Gunnar König, Martin Pawelczyk, Ulrike von Luxburg +1Foundation ModelValidity

  51. Tailoring Strictly Proper Scoring Rules for Downstream Tasks: An Application to Causal Inference

    Jun 2, 2026Roman Plaud, Alexandre Perez-Lebel, Antoine Saillenfest +4Causal InferencesPropensity

  52. Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data

    Jun 1, 2026Xiaohui Yin, Avijit Mitra, Ying Zhou +2Survival AnalysisCausal Inferences

  53. Topological Ignorability for Structural Causal Effects Beyond Means

    May 31, 2026Usef FaghihiCausal InferencesHeterogeneous Treatment Effects

  54. Causal Density Functions

    May 30, 2026Sridhar MahadevanCausal Inferences

  55. You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention

    May 26, 2026Suraj Biswas, Saurav Gupta, Pritam MukherjeeCausal InterventionOutcome

  56. Stop Suppressing the Tail: Causal Inference for Extreme Events

    May 26, 2026Eichi UeharaHeavy-Tailed NoiseHeterogeneous Treatment Effects

  57. Calibrated Inference for the Conditional Average Treatment Effect in the Few-Placebo Regime via Gaussian Processes

    May 26, 2026Eichi UeharaHeterogeneous Treatment EffectsCausal Inferences

  58. Confounder Detection via Treatment Intent: A New Observational Study Design

    May 26, 2026Drago Plecko, Patrik Okanovic, Torsten Hoefler +1Latent ConfoundersCausal Inferences

  59. Causal methods for LLM development and evaluation

    May 25, 2026Dennis Frauen, Marie Brockschmidt, Konstantin Hess +10Large Language Model EvaluationLarge Language

  60. Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines

    May 22, 2026Ernest FokouéCausal InferencesCausal Structure and Reasoning