causal model

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NeurIPS 2023 Learning Causal Models under Independent Changes NeurIPS 2023 Moral Responsibility for AI Systems NeurIPS 2023 On the Interventional Kullback-Leibler Divergence CLeaR 2023 Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model NeurIPS 2023 Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization AAAI 2023 Real-Time Causal Spectro-Temporal Voice Activity Detection Based on Convolutional Encoding and Residual Decoding Interspeech 2023 A Causal Analysis of Harm NeurIPS 2022 Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens EMNLP 2022 Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks ICLR 2022 Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022 Counterfactual harm NeurIPS 2022 Explainability Via Causal Self-Talk NeurIPS 2022 Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies Interspeech 2022 Knowledge transfer for learning subject-specific causal models PGM 2022 Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NeurIPS 2022 On the Equivalence of Causal Models: A Category-Theoretic Approach CLeaR 2022 Reasoning about Causal Models with Infinitely Many Variables AAAI 2022 Selection, Ignorability and Challenges With Causal Fairness CLeaR 2022 Unit Selection with Causal Diagram AAAI 2022 A Ladder of Causal Distances IJCAI 2021 Compositional abstraction error and a category of causal models UAI 2021 Equivalent Causal Models AAAI 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021 Size-Invariant Graph Representations for Graph Classification Extrapolations ICML 2021