Causal Inference

ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning ICLR 2021 Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NeurIPS 2021 A Theory of Independent Mechanisms for Extrapolation in Generative Models AAAI 2021 Automated Storytelling via Causal, Commonsense Plot Ordering AAAI 2021 Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset EMNLP 2021 Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game NeurIPS 2021 Blindness to Modality Helps Entailment Graph Mining EMNLP 2021 CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts AAAI 2021 Causal Autoregressive Flows AISTATS 2021 Causal Inference for Event Pairs in Multivariate Point Processes NeurIPS 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021 Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021 Conditional independences and causal relations implied by sets of equations JMLR 2021 Counterfactual Mean Embeddings JMLR 2021 Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network NAACL 2021 CovRelex: A COVID-19 Retrieval System with Relation Extraction EACL 2021 DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks ACML 2021 DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021 Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras AAAI 2021 Dependency in DAG models with hidden variables UAI 2021 Differentiable Causal Discovery Under Unmeasured Confounding AISTATS 2021 Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion IJCAI 2021 Distilling Causal Effect of Data in Class-Incremental Learning CVPR 2021 Domain adaptation under structural causal models JMLR 2021 Effect Generation Based on Causal Reasoning EMNLP 2021