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

Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023

To Impute or not to Impute? Missing Data in Treatment Effect Estimation AISTATS 2023

Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies AAAI 2023

Context De-Confounded Emotion Recognition CVPR 2023

Establishing Markov equivalence in cyclic directed graphs UAI 2023

CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation ACL 2023

Evaluating Digital Agriculture Recommendations with Causal Inference AAAI 2023

Learning good interventions in causal graphs via covering UAI 2023

Estimating Conditional Average Treatment Effects with Missing Treatment Information AISTATS 2023

Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains CVPR 2023

Causal information splitting: Engineering proxy features for robustness to distribution shifts UAI 2023

Variable importance matching for causal inference UAI 2023

Covariate balancing using the integral probability metric for causal inference ICML 2023

Transfer learning for individual treatment effect estimation UAI 2023

An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023

Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models ACL 2023

Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023

COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective ACL 2023

Estimation Beyond Data Reweighting: Kernel Method of Moments ICML 2023

Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes EMNLP 2023

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023

Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning ACL 2023

Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023

Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers ACL 2023