| Optimal Transport for Counterfactual Estimation: A Method for Causal Inference | Jan 18, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach | Sep 14, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Counterfactual Learning with Multioutput Deep Kernels | Nov 20, 2022 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients | Mar 18, 2025 | counterfactual | CodeCode Available | 0 |
| Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport | Jan 26, 2025 | counterfactualFairness | CodeCode Available | 0 |
| Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization | Apr 26, 2023 | counterfactualLearning-To-Rank | CodeCode Available | 0 |
| Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept | Jul 10, 2024 | counterfactualTime Series | CodeCode Available | 0 |
| CODEX: A Cluster-Based Method for Explainable Reinforcement Learning | Dec 7, 2023 | Clusteringcounterfactual | CodeCode Available | 0 |
| Safe Exploration for Optimizing Contextual Bandits | Feb 2, 2020 | counterfactualInformation Retrieval | CodeCode Available | 0 |
| Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization | Dec 22, 2020 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
