Causal Inference
1,197 papers
Papers per year
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Papers
Com2 : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
ACL 2025
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
UAI 2025
Compositional Causal Reasoning Evaluation in Language Models
ICML 2025
Conditional Average Treatment Effect Estimation Under Hidden Confounders
UAI 2025
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning
IJCAI 2025
Constraint-based Causal Discovery from a Collection of Conditioning Sets
UAI 2025
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
CLeaR 2025
Contagion Effect Estimation Using Proximal Embeddings
CLeaR 2025
Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables
EMNLP 2025
Continuous Structure Constraint Integration for Robust Causal Discovery
AISTATS 2025
Controlling for discrete unmeasured confounding in nonlinear causal models
CLeaR 2025
CoRE: Condition-based Reasoning for Identifying Outcome Variance in Complex Events
ACL 2025
Correcting on Graph: Faithful Semantic Parsing over Knowledge Graphs with Large Language Models
ACL 2025
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
ICML 2025
Counterfactual explanability of black-box prediction models
CLeaR 2025
Counterfactual Influence in Markov Decision Processes
CLeaR 2025
Counterfactual Realizability
ICLR 2025
Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
ICML 2025
CRAFT: Designing Creative and Functional 3D Objects
WACV 2025
Cross-domain Rumor Detection via Test-Time Adaptation and Large Language Models
EMNLP 2025
Cross-modal Causal Relation Alignment for Video Question Grounding
CVPR 2025
Cross-validating causal discovery via Leave-One-Variable-Out
CLeaR 2025
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
ICML 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
AAAI 2025
Decomposition of Probabilities of Causation with Two Mediators
UAI 2025