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causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops AISTATS 2023
A Causal View of Entity Bias in (Large) Language Models EMNLP 2023
Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023
Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction EMNLP 2023
CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings EMNLP 2023
Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks ICCV 2023
Understanding Demonstration-based Learning from a Causal Perspective ACL 2023
CoVariance-based Causal Debiasing for Entity and Relation Extraction EMNLP 2023
Causal Intervention for Abstractive Related Work Generation EMNLP 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models ICML 2023
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning ACL 2023
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting ACL 2023
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge ICCV 2023
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers ACL 2023
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training ACL 2023
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies ACL 2023
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023
Vector Causal Inference between Two Groups of Variables AAAI 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees AISTATS 2023
Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023
No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023
Rank-Based Causal Discovery for Post-Nonlinear Models AISTATS 2023