causal inference

Active Learning of Continuous-time Bayesian Networks through Interventions ICML 2021 Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NeurIPS 2021 A Game-Theoretic Account of Responsibility Allocation IJCAI 2021 A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021 Agent Incentives: A Causal Perspective AAAI 2021 A kernel two-sample test with selection bias UAI 2021 A Language for Counterfactual Generative Models ICML 2021 An Analysis of the Adaptation Speed of Causal Models AISTATS 2021 An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract) AAAI 2021 Answering Complex Causal Queries With the Maximum Causal Set Effect NeurIPS 2021 A Proxy Variable View of Shared Confounding ICML 2021 A Survey of Online Hate Speech through the Causal Lens EMNLP 2021 Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NeurIPS 2021 A Theory of Independent Mechanisms for Extrapolation in Generative Models AAAI 2021 A Topological Perspective on Causal Inference NeurIPS 2021 Automated Storytelling via Causal, Commonsense Plot Ordering AAAI 2021 Bayesian Topic Regression for Causal Inference EMNLP 2021 Bounding Causal Effects on Continuous Outcome AAAI 2021 Budgeted and Non-Budgeted Causal Bandits AISTATS 2021 Budgeted Heterogeneous Treatment Effect Estimation ICML 2021 Cardinality-Regularized Hawkes-Granger Model NeurIPS 2021 Causal Abstractions of Neural Networks NeurIPS 2021 Causal and interventional Markov boundaries UAI 2021 Causal Attention for Vision-Language Tasks CVPR 2021 Causal Augmentation for Causal Sentence Classification EMNLP 2021