{"total":39,"rows":[{"id":"2302.05209","title":"A Survey on Causal Reinforcement Learning","created":"2023-02-10","cited_by_count":45,"area":null},{"id":"2111.06784","title":"A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes","created":"2021-11-12","cited_by_count":36,"area":null},{"id":"2206.12020","title":"Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems","created":"2022-06-24","cited_by_count":35,"area":null},{"id":"2202.07234","title":"Long-term Causal Inference Under Persistent Confounding via Data Combination","created":"2022-02-15","cited_by_count":27,"area":null},{"id":"2212.14468","title":"An Instrumental Variable Approach to Confounded Off-Policy Evaluation","created":"2022-12-29","cited_by_count":20,"area":null},{"id":"2403.20233","title":"Functional Bilevel Optimization for Machine Learning","created":"2024-03-29","cited_by_count":20,"area":null},{"id":"2208.08544","title":"Estimating individual treatment effects under unobserved confounding using binary instruments","created":"2022-08-17","cited_by_count":18,"area":null},{"id":"2205.09824","title":"Deep Learning Methods for Proximal Inference via Maximum Moment Restriction","created":"2022-05-19","cited_by_count":14,"area":null},{"id":"2210.16525","title":"Spectral Representation Learning for Conditional Moment Models","created":"2022-10-29","cited_by_count":12,"area":null},{"id":"2407.10448","title":"Spectral Representation for Causal Estimation with Hidden Confounders","created":"2024-07-15","cited_by_count":12,"area":null},{"id":"2311.18460","title":"Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework","created":"2023-11-30","cited_by_count":10,"area":null},{"id":"2210.06610","title":"A Neural Mean Embedding Approach for Back-door and Front-door Adjustment","created":"2022-10-12","cited_by_count":8,"area":null},{"id":"2108.01312","title":"Learning Causal Models from Conditional Moment Restrictions by Importance Weighting","created":"2021-08-03","cited_by_count":7,"area":null},{"id":"2302.09357","title":"Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback","created":"2023-02-18","cited_by_count":7,"area":null},{"id":"2403.04236","title":"Regularized DeepIV with Model Selection","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2410.22754","title":"An Overview of Causal Inference using Kernel Embeddings","created":"2024-10-30","cited_by_count":6,"area":null},{"id":"2308.04585","title":"Kernel Single Proxy Control for Deterministic Confounding","created":"2023-08-08","cited_by_count":5,"area":null},{"id":"2510.04606","title":"Closed-Form Last Layer Optimization","created":"2025-10-06","cited_by_count":5,"area":null},{"id":"2309.12819","title":"Doubly Robust Proximal Causal Learning for Continuous Treatments","created":"2023-09-22","cited_by_count":4,"area":null},{"id":"2506.10899","title":"Demystifying Spectral Feature Learning for Instrumental Variable Regression","created":"2025-06-12","cited_by_count":4,"area":null},{"id":"2407.14022","title":"Causal Inference with Complex Treatments: A Survey","created":"2024-07-19","cited_by_count":3,"area":null},{"id":"2408.00549","title":"Learning to Embed Distributions via Maximum Kernel Entropy","created":"2024-08-01","cited_by_count":3,"area":null},{"id":"2505.04733","title":"Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting","created":"2025-05-07","cited_by_count":3,"area":null},{"id":"2404.00848","title":"Predictive Performance Comparison of Decision Policies Under Confounding","created":"2024-04-01","cited_by_count":2,"area":null},{"id":"2405.16130","title":"Automating the Selection of Proxy Variables of Unmeasured Confounders","created":"2024-05-25","cited_by_count":2,"area":null},{"id":"2512.00919","title":"Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression","created":"2025-11-30","cited_by_count":2,"area":null},{"id":"2202.02474","title":"Importance Weighting Approach in Kernel Bayes' Rule","created":"2022-02-05","cited_by_count":1,"area":null},{"id":"2309.17283","title":"The Blessings of Multiple Treatments and Outcomes in Treatment Effect Estimation","created":"2023-09-29","cited_by_count":1,"area":null},{"id":"2505.19807","title":"Density Ratio-Free Doubly Robust Proxy Causal Learning","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2209.03224","title":"Dual Instrumental Method for Confounded Kernelized Bandits","created":"2022-09-07","cited_by_count":0,"area":null},{"id":"2209.05186","title":"Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach","created":"2022-09-12","cited_by_count":0,"area":null},{"id":"2210.16775","title":"Nonlinear Causal Discovery via Kernel Anchor Regression","created":"2022-10-30","cited_by_count":0,"area":null},{"id":"2509.25599","title":"Coupling Generative Modeling and an Autoencoder with the Causal Bridge","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2510.25924","title":"Transferring Causal Effects using Proxies","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2603.01337","title":"Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2605.16989","title":"Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.29411","title":"The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2609.40051","title":"Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.04519","title":"Proximal Causal Learning under Unmeasured Confounding","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}