| 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 |
| Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation | May 25, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games | Feb 13, 2021 | counterfactualDecision Making | 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 |
| Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects | Dec 9, 2022 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Causal Explanation of Convolutional Neural Networks | Sep 13, 2021 | counterfactualCounterfactual Explanation | 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 |
| Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation | Apr 12, 2021 | counterfactualPrediction | CodeCode Available | 0 | 5 |
| Double Robust Representation Learning for Counterfactual Prediction | Oct 15, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Causal Effect Estimation using Variational Information Bottleneck | Oct 26, 2021 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
