{"total":26,"rows":[{"id":"2407.05287","title":"Model-agnostic meta-learners for estimating heterogeneous treatment effects over time","created":"2024-07-07","cited_by_count":19,"area":null},{"id":"2103.08390","title":"Estimating the Long-Term Effects of Novel Treatments","created":"2021-03-15","cited_by_count":8,"area":null},{"id":"2202.10887","title":"Policy Evaluation for Temporal and/or Spatial Dependent Experiments","created":"2022-02-22","cited_by_count":8,"area":null},{"id":"2303.02534","title":"Semi-parametric inference based on adaptively collected data","created":"2023-03-05","cited_by_count":7,"area":null},{"id":"2101.04025","title":"Distributed Double Machine Learning with a Serverless Architecture","created":"2021-01-11","cited_by_count":5,"area":null},{"id":"2111.03950","title":"Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves","created":"2021-11-06","cited_by_count":5,"area":null},{"id":"2206.00885","title":"Coordinated Double Machine Learning","created":"2022-06-02","cited_by_count":4,"area":null},{"id":"2303.04416","title":"Inference on Optimal Dynamic Policies via Softmax Approximation","created":"2023-03-08","cited_by_count":3,"area":null},{"id":"2404.00099","title":"Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes","created":"2024-03-29","cited_by_count":3,"area":null},{"id":"2510.19643","title":"Overlap-weighted orthogonal meta-learner for treatment effect estimation over time","created":"2025-10-22","cited_by_count":3,"area":null},{"id":"2605.31494","title":"Consolidating Rewarded Perturbations for LLM Post-Training","created":"2026-05-29","cited_by_count":3,"area":null},{"id":"2405.11377","title":"Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model","created":"2024-05-18","cited_by_count":2,"area":null},{"id":"2411.10009","title":"Semiparametric inference for impulse response functions using double/debiased machine learning","created":"2024-11-15","cited_by_count":2,"area":null},{"id":"2511.14545","title":"DeepBlip: Estimating Conditional Average Treatment Effects Over Time","created":"2025-11-18","cited_by_count":2,"area":null},{"id":"2310.10559","title":"Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data","created":"2023-10-16","cited_by_count":1,"area":null},{"id":"2103.01280","title":"Dynamic covariate balancing: estimating treatment effects over time with potential local projections","created":"2021-03-01","cited_by_count":0,"area":null},{"id":"2103.11869","title":"Robust Orthogonal Machine Learning of Treatment Effects","created":"2021-03-22","cited_by_count":0,"area":null},{"id":"2205.14048","title":"Average Adjusted Association: Efficient Estimation with High Dimensional Confounders","created":"2022-05-27","cited_by_count":0,"area":null},{"id":"2306.16297","title":"A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation","created":"2023-06-28","cited_by_count":0,"area":null},{"id":"2411.14665","title":"Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data","created":"2024-11-22","cited_by_count":0,"area":null},{"id":"2508.20259","title":"Latent Variable Modeling for Robust Causal Effect Estimation","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2509.26429","title":"An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2512.15965","title":"xtdml: Double Machine Learning Estimation to Static Panel Data Models with Fixed Effects in R","created":"2025-12-17","cited_by_count":0,"area":null},{"id":"2602.12379","title":"Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2603.02359","title":"Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2605.31443","title":"Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments","created":"2026-05-29","cited_by_count":0,"area":null}],"next_cursor":null}