Causal Inference

Generalization Bounds for Estimating Causal Effects of Continuous Treatments NeurIPS 2022 Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NeurIPS 2022 Heterogeneous Peer Effects in the Linear Threshold Model AAAI 2022 How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis ACL 2022 Identification of Linear Latent Variable Model with Arbitrary Distribution AAAI 2022 Identification of Linear Non-Gaussian Latent Hierarchical Structure ICML 2022 Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022 Improving Multi-Task Generalization via Regularizing Spurious Correlation NeurIPS 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022 Instrumental Variable Regression with Confounder Balancing ICML 2022 Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations AAAI 2022 Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction AAAI 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling NeurIPS 2022 Invariant Language Modeling EMNLP 2022 Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples EMNLP 2022 Large-Scale Differentiable Causal Discovery of Factor Graphs NeurIPS 2022 Latent Hierarchical Causal Structure Discovery with Rank Constraints NeurIPS 2022 Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NeurIPS 2022 Learning Causal Models from Conditional Moment Restrictions by Importance Weighting ICLR 2022 Learning from Counterfactual Links for Link Prediction ICML 2022 Learning from Stochastically Revealed Preference NeurIPS 2022 Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments ICML 2022 MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models NeurIPS 2022 Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference EMNLP 2022 Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization NeurIPS 2022