counterfactual outcome

Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding CLeaR 2026 Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments UAI 2026 Efficient Causal Decision Making with One-sided Feedback ICLR 2025 Encode-Decoder-based GAN for Estimating Counterfactual Outcomes under Sequential Selection Bias and Combinatorial Explosion CLeaR 2025 GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025 Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation ICML 2025 Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation ICML 2025 Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024 Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024 Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation ICML 2023 Causal Transformer for Estimating Counterfactual Outcomes ICML 2022 Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations ICML 2022 Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response CLeaR 2022 Validating Causal Inference Methods ICML 2022 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020 Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks NeurIPS 2020 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020 GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets ICLR 2018 Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NeurIPS 2017