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

Identification and Estimation of “Causes of Effects” using Covariate-Mediator Information AISTATS 2024

RT-LA-VocE: Real-Time Low-SNR Audio-Visual Speech Enhancement INTERSPEECH 2024

Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification IJCAI 2024

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024

Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024

Explaining Language Model Predictions with High-Impact Concepts EACL 2024

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse IJCAI 2024

Causal Temporal Representation Learning with Nonstationary Sparse Transition NIPS 2024

Positivity-free Policy Learning with Observational Data AISTATS 2024

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024

PHSIC against Random Consistency and Its Application in Causal Inference IJCAI 2024

Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024

Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024

Neural Causal Abstractions AAAI 2024

Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024

Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024

Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024

Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling IJCAI 2024

TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024

A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024

Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa IJCAI 2024