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Causal Inference

936 papers

Papers per year

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11
91
107
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Papers

What Would Happen Next? Predicting Consequences from An Event Causality Graph EMNLP 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024
CNEQ: Incorporating numbers into Knowledge Graph Reasoning EMNLP 2024
MDCR: A Dataset for Multi-Document Conditional Reasoning EMNLP 2024
PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes EMNLP 2024
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024
Hacking Task Confounder in Meta-Learning IJCAI 2024
Individual Causal Structure Learning from Population Data IJCAI 2024
Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention IJCAI 2024
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa IJCAI 2024
FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection IJCAI 2024
A Conflict-Embedded Narrative Generation Using Commonsense Reasoning IJCAI 2024
Axiomatic effect propagation in structural causal models JMLR 2024
Causal-learn: Causal Discovery in Python JMLR 2024
Functional Directed Acyclic Graphs JMLR 2024
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables JMLR 2024
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024
Learning and scoring Gaussian latent variable causal models with unknown additive interventions JMLR 2024
Causal Discovery with Generalized Linear Models through Peeling Algorithms JMLR 2024
Causal effects of intervening variables in settings with unmeasured confounding JMLR 2024
Learning Gaussian DAGs from Network Data JMLR 2024