Causal Inference

Heterogeneous Peer Effects in the Linear Threshold Model AAAI 2022 Identifiability of sparse causal effects using instrumental variables UAI 2022 Identification in Tree-shaped Linear Structural Causal Models AISTATS 2022 Identification of Linear Non-Gaussian Latent Hierarchical Structure ICML 2022 Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations AAAI 2022 Incorporating Causal Analysis into Diversified and Logical Response Generation COLING 2022 Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models NeurIPS 2022 Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction AAAI 2022 Interventions, Where and How? Experimental Design for Causal Models at Scale NeurIPS 2022 Invariant Ancestry Search ICML 2022 Knowledge-Based News Event Analysis and Forecasting Toolkit IJCAI 2022 Knowledge transfer for learning subject-specific causal models PGM 2022 Large-Scale Differentiable Causal Discovery of Factor Graphs NeurIPS 2022 Latent Hierarchical Causal Structure Discovery with Rank Constraints NeurIPS 2022 Latent Space Explanation by Intervention AAAI 2022 Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference ACL 2022 Learning linear non-Gaussian polytree models UAI 2022 Local Constraint-Based Causal Discovery under Selection Bias CLeaR 2022 Measuring Compositional Consistency for Video Question Answering CVPR 2022 MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models NeurIPS 2022 Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic AAAI 2022 Neuron Dependency Graphs: A Causal Abstraction of Neural Networks ICML 2022 Obtaining Causal Information by Merging Datasets with MAXENT AISTATS 2022 On Measuring Causal Contributions via do-interventions ICML 2022 On Testing for Discrimination Using Causal Models AAAI 2022