{"total":67,"rows":[{"id":"2107.00793","title":"The Causal-Neural Connection: Expressiveness, Learnability, and Inference","created":"2021-07-02","cited_by_count":98,"area":null},{"id":"2110.05690","title":"Partial Counterfactual Identification from Observational and Experimental Data","created":"2021-10-12","cited_by_count":64,"area":null},{"id":"2302.02228","title":"Counterfactual Identifiability of Bijective Causal Models","created":"2023-02-04","cited_by_count":43,"area":null},{"id":"2109.13471","title":"An Automated Approach to Causal Inference in Discrete Settings","created":"2021-09-28","cited_by_count":42,"area":null},{"id":"2102.09907","title":"Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning","created":"2021-02-19","cited_by_count":35,"area":"offlinerl"},{"id":"2204.12993","title":"Counterfactual harm","created":"2022-04-27","cited_by_count":29,"area":null},{"id":"2202.01312","title":"Causal Imitation Learning under Temporally Correlated Noise","created":"2022-02-02","cited_by_count":28,"area":"offlinerl"},{"id":"2202.10806","title":"Stochastic Causal Programming for Bounding Treatment Effects","created":"2022-02-22","cited_by_count":25,"area":null},{"id":"2202.01300","title":"Causal Inference Through the Structural Causal Marginal Problem","created":"2022-02-02","cited_by_count":23,"area":null},{"id":"2403.09683","title":"Counterfactual Image Editing","created":"2024-02-07","cited_by_count":20,"area":null},{"id":"2406.05014","title":"Root Cause Analysis of Outliers with Missing Structural Knowledge","created":"2024-06-07","cited_by_count":19,"area":null},{"id":"2503.04363","title":"Causally Reliable Concept Bottleneck Models","created":"2025-03-06","cited_by_count":17,"area":null},{"id":"2202.00368","title":"Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space","created":"2022-02-01","cited_by_count":14,"area":null},{"id":"2306.01424","title":"Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model","created":"2023-06-02","cited_by_count":14,"area":null},{"id":"2205.13935","title":"Detecting hidden confounding in observational data using multiple environments","created":"2022-05-27","cited_by_count":13,"area":null},{"id":"2202.10665","title":"Partial Identification with Noisy Covariates: A Robust Optimization Approach","created":"2022-02-22","cited_by_count":11,"area":null},{"id":"2109.11679","title":"Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment","created":"2021-09-22","cited_by_count":10,"area":null},{"id":"2205.13832","title":"Counterfactual Analysis in Dynamic Latent State Models","created":"2022-05-27","cited_by_count":10,"area":null},{"id":"2206.09186","title":"Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach","created":"2022-06-18","cited_by_count":9,"area":null},{"id":"2307.16577","title":"Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources","created":"2023-07-31","cited_by_count":9,"area":null},{"id":"2003.00806","title":"Causal Transfer for Imitation Learning and Decision Making under Sensor-shift","created":"2020-03-02","cited_by_count":8,"area":"offlinerl"},{"id":"2104.10105","title":"Neural Networks for Learning Counterfactual G-Invariances from Single Environments","created":"2021-04-20","cited_by_count":8,"area":null},{"id":"2306.05066","title":"Causal Fairness for Outcome Control","created":"2023-06-08","cited_by_count":8,"area":null},{"id":"2307.08304","title":"Efficient Computation of Counterfactual Bounds","created":"2023-07-17","cited_by_count":8,"area":null},{"id":"2211.13447","title":"On the Complexity of Counterfactual Reasoning","created":"2022-11-24","cited_by_count":7,"area":null},{"id":"2605.30233","title":"Do Language Models Track Entities Across State Changes?","created":"2026-05-28","cited_by_count":6,"area":null},{"id":"2308.02709","title":"Scalable Computation of Causal Bounds","created":"2023-08-04","cited_by_count":5,"area":null},{"id":"2405.15673","title":"Consistency of Neural Causal Partial Identification","created":"2024-05-24","cited_by_count":5,"area":null},{"id":"2307.08519","title":"Results on Counterfactual Invariance","created":"2023-07-17","cited_by_count":4,"area":null},{"id":"2406.13966","title":"Causal Inference with Latent Variables: Recent Advances and Future Prospectives","created":"2024-06-20","cited_by_count":4,"area":null},{"id":"2410.08976","title":"Learning Representations of Instruments for Partial Identification of Treatment Effects","created":"2024-10-11","cited_by_count":4,"area":null},{"id":"2102.11761","title":"SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference","created":"2021-02-23","cited_by_count":3,"area":null},{"id":"2202.13851","title":"The Causal Marginal Polytope for Bounding Treatment Effects","created":"2022-02-28","cited_by_count":3,"area":null},{"id":"2206.12986","title":"Explaining the root causes of unit-level changes","created":"2022-06-26","cited_by_count":3,"area":null},{"id":"2211.07264","title":"Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment","created":"2022-11-14","cited_by_count":3,"area":null},{"id":"2304.02023","title":"Bounding probabilities of causation through the causal marginal problem","created":"2023-04-04","cited_by_count":3,"area":null},{"id":"2306.07566","title":"Learning with Selectively Labeled Data from Multiple Decision-makers","created":"2023-06-13","cited_by_count":3,"area":null},{"id":"2502.13731","title":"Robust Counterfactual Inference in Markov Decision Processes","created":"2025-02-19","cited_by_count":3,"area":null},{"id":"2605.12924","title":"IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning","created":"2026-05-13","cited_by_count":3,"area":null},{"id":"2106.11849","title":"Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects","created":"2021-06-22","cited_by_count":2,"area":null},{"id":"2405.11669","title":"Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning","created":"2024-05-19","cited_by_count":2,"area":"deeprl"},{"id":"2405.14001","title":"Nondeterministic Causal Models","created":"2024-05-22","cited_by_count":2,"area":null},{"id":"2503.07811","title":"A primer on optimal transport for causal inference with observational data","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2509.03548","title":"Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models","created":"2025-09-02","cited_by_count":2,"area":null},{"id":"2601.17160","title":"Information-Theoretic Causal Bounds under Unmeasured Confounding","created":"2026-01-23","cited_by_count":2,"area":null},{"id":"2606.19361","title":"Computational Identifiability","created":"2026-06-08","cited_by_count":2,"area":null},{"id":"2608.20841","title":"Foundation Models for Partial Causal Identification","created":"2026-08-21","cited_by_count":2,"area":null},{"id":"2310.08406","title":"Tightening Bounds on Probabilities of Causation By Merging Datasets","created":"2023-10-12","cited_by_count":1,"area":null},{"id":"2502.07656","title":"Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding","created":"2025-02-11","cited_by_count":1,"area":"offlinerl"},{"id":"2505.09412","title":"Counterfactual Strategies for Markov Decision Processes","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2512.12804","title":"Causal Counterfactuals Reconsidered","created":"2025-12-14","cited_by_count":1,"area":null},{"id":"2602.10532","title":"Statistical Inference and Learning for Shapley Additive Explanations (SHAP)","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2606.26418","title":"Unbiased Canonical Set-Valued Oracles Via Lattice Theory","created":"2026-06-24","cited_by_count":1,"area":null},{"id":"2209.00137","title":"Partial Counterfactual Identification for Infinite Horizon Partially Observable Markov Decision Process","created":"2022-08-31","cited_by_count":0,"area":null},{"id":"2212.02932","title":"Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data","created":"2022-12-06","cited_by_count":0,"area":null},{"id":"2405.15120","title":"A Counterfactual Analysis of the Dishonest Casino","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2502.06398","title":"Learning Counterfactual Outcomes Under Rank Preservation","created":"2025-02-10","cited_by_count":0,"area":null},{"id":"2506.00335","title":"Recover Experimental Data with Selection Bias using Counterfactual Logic","created":"2025-05-31","cited_by_count":0,"area":null},{"id":"2509.02535","title":"Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models","created":"2025-09-02","cited_by_count":0,"area":null},{"id":"2601.22736","title":"Uncertainty-aware Causal Decision Making via Effect Bound Decomposition","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2606.21185","title":"Two Layers of Instability in Causal Estimation","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2606.21809","title":"Causal Gaussian Processes for Robust Treatment Effect Evaluation with Unobserved Confounding","created":"2026-06-20","cited_by_count":0,"area":null},{"id":"2608.11601","title":"How Can Driving World Models Do Counterfactual Prediction?","created":"2026-08-12","cited_by_count":0,"area":"wm"},{"id":"2608.24427","title":"Partial Identification under Causal Orders by Linear Programming","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2608.24632","title":"Causal Modelling of Support Interventions for Student Competency Assessment","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.32247","title":"Certifying Interventional Agreement Among Observationally Equivalent Causal Models","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.38851","title":"Where MLLMs Fail and Why: Causal Task Decomposition for Capability Failure Diagnosis","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}