| Machine learning in policy evaluation: new tools for causal inference | Mar 1, 2019 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 |
| Integrability and Identification in Multinomial Choice Models | Feb 28, 2019 | counterfactual | —Unverified | 0 |
| On Robustness of Principal Component Regression | Feb 28, 2019 | Art AnalysisCausal Inference | —Unverified | 0 |
| Counterfactual Inference in Duration Models with Random Censoring | Feb 22, 2019 | counterfactualCounterfactual Inference | —Unverified | 0 |
| Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering | Feb 21, 2019 | counterfactualQuestion Answering | —Unverified | 0 |
| Stable-Predictive Optimistic Counterfactual Regret Minimization | Feb 13, 2019 | counterfactual | CodeCode Available | 1 |
| Cost-Effective Incentive Allocation via Structured Counterfactual Inference | Feb 7, 2019 | counterfactualCounterfactual Inference | —Unverified | 0 |
| Learning Counterfactual Representations for Estimating Individual Dose-Response Curves | Feb 3, 2019 | counterfactualModel Selection | CodeCode Available | 0 |
| Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions | Jan 29, 2019 | counterfactualFairness | CodeCode Available | 0 |
| Causal Reasoning from Meta-reinforcement Learning | Jan 23, 2019 | counterfactualMeta Reinforcement Learning | CodeCode Available | 0 |
