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Causal Inference

934 directly classified papers

Papers per year

Papers

Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes EMNLP 2023
Enhancing Event Causality Identification with Event Causal Label and Event Pair Interaction Graph ACL 2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting ACL 2023
Enhancing Event Causality Identification with Counterfactual Reasoning ACL 2023
Event Semantic Knowledge in Procedural Text Understanding ACL 2023
CausalDialogue: Modeling Utterance-level Causality in Conversations ACL 2023
Intervention Generalization: A View from Factor Graph Models NIPS 2023
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models NIPS 2023
Causal Inference Despite Limited Global Confounding via Mixture Models CLEAR 2023
CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions ACL 2022
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning ACL 2022
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference ACL 2022
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks ICML 2022
From Actions to Programs as Abstract Actual Causes AAAI 2022
Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning AAAI 2022
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic AAAI 2022
Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction AAAI 2022
Knowledge-Based News Event Analysis and Forecasting Toolkit IJCAI 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022
Incorporating Causal Analysis into Diversified and Logical Response Generation COLING 2022
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification COLING 2022
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction AISTATS 2022
On the Assumptions of Synthetic Control Methods AISTATS 2022
Identification in Tree-shaped Linear Structural Causal Models AISTATS 2022
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions AISTATS 2022