| Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN | Oct 16, 2020 | counterfactualDisentanglement | —Unverified | 0 |
| Double Robust Representation Learning for Counterfactual Prediction | Oct 15, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Geometry matters: Exploring language examples at the decision boundary | Oct 14, 2020 | counterfactualProper Noun | —Unverified | 0 |
| Scaling Guarantees for Nearest Counterfactual Explanations | Oct 10, 2020 | counterfactualDecision Making | —Unverified | 0 |
| Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves | Oct 10, 2020 | counterfactualregression | —Unverified | 0 |
| Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data | Oct 9, 2020 | counterfactualNatural Language Inference | CodeCode Available | 0 |
| A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations | Oct 9, 2020 | BIG-bench Machine Learningcounterfactual | —Unverified | 0 |
| Interpreting Unconditional Quantile Regression with Conditional Independence | Oct 7, 2020 | counterfactualquantile regression | —Unverified | 0 |
| Efficient computation of contrastive explanations | Oct 6, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 |
| A framework for predicting, interpreting, and improving Learning Outcomes | Oct 6, 2020 | counterfactualPrediction Intervals | —Unverified | 0 |
