causal inference

Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response CLeaR 2022 Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022 Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings MIDL 2022 Incorporating Causal Analysis into Diversified and Logical Response Generation COLING 2022 Inducing Causal Structure for Interpretable Neural Networks ICML 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 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 Interactive rank testing by betting CLeaR 2022 Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations AAAI 2022 Interpretable Off-Policy Learning via Hyperbox Search ICML 2022 Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction AAAI 2022 Interventional Training for Out-Of-Distribution Natural Language Understanding EMNLP 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 Grounding for Video Question Answering CVPR 2022 Invariant Information Bottleneck for Domain Generalization AAAI 2022 Invariant Language Modeling EMNLP 2022 Iterative Structural Inference of Directed Graphs NeurIPS 2022 Knowledge transfer for learning subject-specific causal models PGM 2022 Large-Scale Differentiable Causal Discovery of Factor Graphs NeurIPS 2022