counterfactual estimation

Enhancing Counterfactual Estimation: A Focus on Temporal Treatments IJCAI 2025 ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation AAAI 2024 A Dual-module Framework for Counterfactual Estimation over Time ICML 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024 Causal Inference for Human-Language Model Collaboration NAACL 2024 Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation NeurIPS 2024 Counterfactual Identifiability of Bijective Causal Models ICML 2023 Neural Causal Models for Counterfactual Identification and Estimation ICLR 2023 auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data MLHC 2022 Deep Counterfactual Estimation with Categorical Background Variables NeurIPS 2022 Diffusion Causal Models for Counterfactual Estimation CLeaR 2022 Counterfactual Maximum Likelihood Estimation for Training Deep Networks NeurIPS 2021 Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021 Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021 Universal Off-Policy Evaluation NeurIPS 2021 Optimizing for the Future in Non-Stationary MDPs ICML 2020 Robust Synthetic Control JMLR 2018