Causal Inference

Improving Precancerous Case Characterization via Transformer-based Ensemble Learning EMNLP 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 Individual Preference Stability for Clustering ICML 2022 Inducing Causal Structure for Interpretable Neural Networks ICML 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022 Inferring Implicit Relations in Complex Questions with Language Models EMNLP 2022 Inferring Rewards from Language in Context ACL 2022 Info Intervention and its Causal Calculus CLeaR 2022 Information-Theoretic Bias Reduction via Causal View of Spurious Correlation AAAI 2022 Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language NAACL 2022 Instrumental Variable Regression with Confounder Balancing ICML 2022 Integrative R-learner of heterogeneous treatment effects combining experimental and observational studies CLeaR 2022 Interactive rank testing by betting CLeaR 2022 Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations AAAI 2022 Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022 Interventional Training for Out-Of-Distribution Natural Language Understanding EMNLP 2022 Intervention target estimation in the presence of latent variables UAI 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling NeurIPS 2022 Invariant Action Effect Model for Reinforcement Learning AAAI 2022 Invariant Ancestry Search ICML 2022 Invariant and Transportable Representations for Anti-Causal Domain Shifts NeurIPS 2022 Invariant Causal Representation Learning for Out-of-Distribution Generalization ICLR 2022 Invariant Grounding for Video Question Answering CVPR 2022 Invariant Information Bottleneck for Domain Generalization AAAI 2022