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causal inference

1,860 papers

CI

Papers

Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources ICLR 2025 Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates AAAI 2025 Confounding-Robust Deferral Policy Learning AAAI 2025 Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets ICLR 2025 Contagion Effect Estimation Using Proximal Embeddings CLeaR 2025 Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables EMNLP 2025 Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding JMLR 2025 CoRE: Condition-based Reasoning for Identifying Outcome Variance in Complex Events ACL 2025 Counterfactual Online Learning for Open-Loop Monte-Carlo Planning AAAI 2025 CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds ICCV 2025 Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement AAAI 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 Debiased Multimodal Understanding for Human Language Sequences AAAI 2025 Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025 Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation AAAI 2025 Degree of Interference: A General Framework For Causal Inference Under Interference JMLR 2025 Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm ICLR 2025 Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport AAAI 2025 Differentiable Structure Learning with Ancestral Constraints ICML 2025 Differentially private learners for heterogeneous treatment effects ICLR 2025 DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data JMLR 2025 Disconfounding Fake News Video Explanation with Causal Inference IJCAI 2025 Discovering Latent Causal Graphs from Spatiotemporal Data ICML 2025 Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models ACL 2025