| Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models | Sep 23, 2018 | Causal InferenceClustering | CodeCode Available | 0 | 5 |
| A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding | Feb 4, 2024 | Causal InferenceDimensionality Reduction | CodeCode Available | 0 | 5 |
| A Practical Approach to Causal Inference over Time | Oct 14, 2024 | Causal InferenceEconometrics | CodeCode Available | 0 | 5 |
| Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments | Jan 12, 2025 | Causal Inference | CodeCode Available | 0 | 5 |
| DAG-aware Transformer for Causal Effect Estimation | Oct 13, 2024 | Causal Inference | CodeCode Available | 0 | 5 |
| Causal Discovery in Linear Structural Causal Models with Deterministic Relations | Oct 30, 2021 | Causal DiscoveryCausal Inference | CodeCode Available | 0 | 5 |
| Approaching an unknown communication system by latent space exploration and causal inference | Mar 20, 2023 | Causal InferenceDisentanglement | CodeCode Available | 0 | 5 |
| Covariate balancing using the integral probability metric for causal inference | May 23, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Causal discovery for observational sciences using supervised machine learning | Feb 25, 2022 | BIG-bench Machine LearningCausal Discovery | CodeCode Available | 0 | 5 |
| Dynamic Structural Impact of the COVID-19 Outbreak on the Stock Market and the Exchange Rate: A Cross-country Analysis Among BRICS Nations | Feb 10, 2021 | Causal Inference | CodeCode Available | 0 | 5 |
| Adversarial Balancing for Causal Inference | Oct 17, 2018 | Causal Inference | CodeCode Available | 0 | 5 |
| AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs | Mar 6, 2024 | Causal DiscoveryCausal Inference | CodeCode Available | 0 | 5 |
| A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification | Jan 11, 2021 | Causal Emotion EntailmentCausal Inference | CodeCode Available | 0 | 5 |
| Counterfactual Prediction Under Selective Confounding | Oct 21, 2023 | AllCausal Inference | CodeCode Available | 0 | 5 |
| Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP | Oct 7, 2021 | Causal InferenceDomain Adaptation | CodeCode Available | 0 | 5 |
| Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training | Apr 9, 2024 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data | Mar 29, 2022 | Causal DiscoveryCausal Inference | CodeCode Available | 0 | 5 |
| Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets | Mar 29, 2022 | Causal InferenceDomain Adaptation | CodeCode Available | 0 | 5 |
| Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data | Apr 30, 2019 | Causal InferenceRepresentation Learning | CodeCode Available | 0 | 5 |
| Causal Inference for Knowledge Graph based Recommendation | Dec 20, 2022 | Causal InferenceCollaborative Filtering | CodeCode Available | 0 | 5 |
| Counterfactual Mean Embeddings | May 22, 2018 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Counterfactual Fairness | Mar 20, 2017 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 | 5 |
| Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models | Sep 11, 2019 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Estimating Causal Effects with the Neural Autoregressive Density Estimator | Aug 17, 2020 | Causal Inference | CodeCode Available | 0 | 5 |
| Counterfactually Comparing Abstaining Classifiers | May 17, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
