| Counterfactual Explanations as Interventions in Latent Space | Jun 14, 2021 | counterfactualExplainable artificial intelligence | CodeCode Available | 0 | 5 |
| DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data | Mar 7, 2023 | counterfactualGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| Δ- OPE: Off-Policy Estimation with Pairs of Policies | May 16, 2024 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Dynamic Causal Collaborative Filtering | Aug 23, 2022 | Collaborative Filteringcounterfactual | CodeCode Available | 0 | 5 |
| Causal Effect Estimation using Variational Information Bottleneck | Oct 26, 2021 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software | Jul 1, 2024 | counterfactualFairness | CodeCode Available | 0 | 5 |
| Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset | Apr 25, 2022 | counterfactualimage-classification | CodeCode Available | 0 | 5 |
| Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank | Mar 31, 2022 | counterfactualGeneral Reinforcement Learning | CodeCode Available | 0 | 5 |
| Achieving Counterfactual Fairness for Anomaly Detection | Mar 4, 2023 | Anomaly Detectioncounterfactual | CodeCode Available | 0 | 5 |
| Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects | Dec 9, 2022 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
