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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

Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning EMNLP 2024
s-ID: Causal Effect Identification in a Sub-population AAAI 2024
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024
Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024
Fast Proxy Experiment Design for Causal Effect Identification NIPS 2024
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection CVPR 2024
Monitoring machine learning-based risk prediction algorithms in the presence of performativity AISTATS 2024
Stage-Aware Learning for Dynamic Treatments JMLR 2024
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization ACL 2024
Responsibility in Extensive Form Games AAAI 2024
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution AAAI 2024
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024
Membership Testing in Markov Equivalence Classes via Independence Queries AISTATS 2024
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables NIPS 2024
CausalCite: A Causal Formulation of Paper Citations ACL 2024
Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024
Limits of Approximating the Median Treatment Effect COLT 2024
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning IJCAI 2024
Rethinking Multi-domain Generalization with A General Learning Objective CVPR 2024
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs AAAI 2024
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NIPS 2024
When Causal Inference Meets Graph Machine Learning AAAI 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner NIPS 2024