structural causal model

Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation JMLR 2023 Do Not Marginalize Mechanisms, Rather Consolidate! NeurIPS 2023 Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023 Finding Counterfactually Optimal Action Sequences in Continuous State Spaces NeurIPS 2023 High Fidelity Image Counterfactuals with Probabilistic Causal Models ICML 2023 How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning EMNLP 2023 Interventional Rationalization EMNLP 2023 Intervention Generalization: A View from Factor Graph Models NeurIPS 2023 iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models NeurIPS 2023 Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions CLeaR 2023 Measuring axiomatic soundness of counterfactual image models ICLR 2023 Neural Causal Models for Counterfactual Identification and Estimation ICLR 2023 Neuro-Symbolic Procedural Planning with Commonsense Prompting ICLR 2023 Non-parametric identifiability and sensitivity analysis of synthetic control models CLeaR 2023 On Data Manifolds Entailed by Structural Causal Models ICML 2023 On the Complexity of Counterfactual Reasoning IJCAI 2023 Quantifying Consistency and Information Loss for Causal Abstraction Learning IJCAI 2023 Rank-Based Causal Discovery for Post-Nonlinear Models AISTATS 2023 Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction AAAI 2023 Towards Trustworthy Explanation: On Causal Rationalization ICML 2023 Understanding Demonstration-based Learning from a Causal Perspective ACL 2023 Causal Discovery for Linear Mixed Data CLeaR 2022 Causal Discovery in Linear Structural Causal Models with Deterministic Relations CLeaR 2022 Causal Inference Through the Structural Causal Marginal Problem ICML 2022 Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition AAAI 2022