Causal Inference

Estimating Causal Effects Identifiable from a Combination of Observations and Experiments NeurIPS 2023 Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023 Estimating Conditional Average Treatment Effects with Missing Treatment Information AISTATS 2023 Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks AAAI 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023 Estimating individual treatment effects under unobserved confounding using binary instruments ICLR 2023 Estimating Joint Treatment Effects by Combining Multiple Experiments ICML 2023 Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding CLeaR 2023 Estimating Possible Causal Effects with Latent Variables via Adjustment ICML 2023 Estimating Propensity for Causality-based Recommendation without Exposure Data NeurIPS 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023 Estimation Beyond Data Reweighting: Kernel Method of Moments ICML 2023 Estimation of Counterfactual Interventions under Uncertainties ACML 2023 Evaluating Digital Agriculture Recommendations with Causal Inference AAAI 2023 Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023 Event Causality Extraction via Implicit Cause-Effect Interactions EMNLP 2023 Event Temporal Relation Extraction with Bayesian Translational Model EACL 2023 Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning ACL 2023 Explainable Data-Driven Optimization: From Context to Decision and Back Again ICML 2023 Explainable Reinforcement Learning via a Causal World Model IJCAI 2023 Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023 Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change ACL 2023 Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction EACL 2023 Factorization of the Partial Covariance in Singly-Connected Path Diagrams CLeaR 2023 Factual Observation Based Heterogeneity Learning for Counterfactual Prediction CLeaR 2023