| 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 |
| On the Fairness of Causal Algorithmic Recourse | Oct 13, 2020 | counterfactualFairness | CodeCode Available | 1 |
| Counterfactual Variable Control for Robust and Interpretable Question Answering | Oct 12, 2020 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning | Oct 12, 2020 | counterfactualCounterfactual Reasoning | CodeCode Available | 1 |
| Social Commonsense Reasoning with Multi-Head Knowledge Attention | Oct 12, 2020 | counterfactualCounterfactual Reasoning | CodeCode Available | 1 |
| Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves | Oct 10, 2020 | counterfactualregression | —Unverified | 0 |
| Scaling Guarantees for Nearest Counterfactual Explanations | Oct 10, 2020 | counterfactualDecision Making | —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 |
| Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning | Oct 6, 2020 | counterfactualCounterfactual Reasoning | CodeCode Available | 1 |
| A framework for predicting, interpreting, and improving Learning Outcomes | Oct 6, 2020 | counterfactualPrediction Intervals | —Unverified | 0 |
| Interpretable Sequence Classification via Discrete Optimization | Oct 6, 2020 | Classificationcounterfactual | CodeCode Available | 0 |
| Efficient computation of contrastive explanations | Oct 6, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 |
| Explaining The Efficacy of Counterfactually Augmented Data | Oct 5, 2020 | counterfactualDomain Generalization | —Unverified | 0 |
| Disentangling causal effects for hierarchical reinforcement learning | Oct 3, 2020 | counterfactualDescriptive | —Unverified | 0 |
| Local Regression Distribution Estimators | Sep 30, 2020 | counterfactualregression | CodeCode Available | 0 |
| Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification | Sep 30, 2020 | Classificationcounterfactual | —Unverified | 0 |
| Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games | Sep 30, 2020 | counterfactual | —Unverified | 0 |
| A Computational Approach to Identification of Treatment Effects for Policy Evaluation | Sep 29, 2020 | counterfactual | —Unverified | 0 |
| GraphITE: Estimating Individual Effects of Graph-structured Treatments | Sep 29, 2020 | counterfactualDecision Making | —Unverified | 0 |
| Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation | Sep 28, 2020 | Causal Inferencecounterfactual | —Unverified | 0 |
| Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning | Sep 28, 2020 | counterfactualMulti-agent Reinforcement Learning | —Unverified | 0 |
| Targeted VAE: Variational and Targeted Learning for Causal Inference | Sep 28, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 |
