Causal Inference

Efficient Online Estimation of Causal Effects by Deciding What to Observe NeurIPS 2021 Enhancing Model Robustness and Fairness with Causality: A Regularization Approach EMNLP 2021 Equivalent Causal Models AAAI 2021 Estimating Multi-cause Treatment Effects via Single-cause Perturbation NeurIPS 2021 Estimation and Optimization of Composite Outcomes JMLR 2021 Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021 Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance NeurIPS 2021 Generative Interventions for Causal Learning CVPR 2021 Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NeurIPS 2021 Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases NeurIPS 2021 Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community EMNLP 2021 Improving Causal Inference by Increasing Model Expressiveness AAAI 2021 Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021 Instrumental Variable-based Identification for Causal Effects using Covariate Information AAAI 2021 Interventional Video Grounding With Dual Contrastive Learning CVPR 2021 It’s quality and quantity: the effect of the amount of comments on online suicidal posts EMNLP 2021 Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021 Learning Faithful Representations of Causal Graphs ACL 2021 Learning Generalized Gumbel-max Causal Mechanisms NeurIPS 2021 Learning latent causal graphs via mixture oracles NeurIPS 2021 Learning Treatment Effects in Panels with General Intervention Patterns NeurIPS 2021 Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States EMNLP 2021 Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NeurIPS 2021 On Inductive Biases for Heterogeneous Treatment Effect Estimation NeurIPS 2021 Path dependent structural equation models UAI 2021