| Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data | Dec 6, 2022 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| Deep Counterfactual Networks with Propensity-Dropout | Jun 19, 2017 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| The Structurally Complex with Additive Parent Causality (SCARY) Dataset | Apr 27, 2023 | Additive modelsCausal Discovery | CodeCode Available | 0 |
| A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data | Oct 6, 2023 | Selection bias | CodeCode Available | 0 |
| Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting | Apr 29, 2020 | Abusive LanguageGeneral Classification | CodeCode Available | 0 |
| Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias | Oct 22, 2021 | Selection bias | CodeCode Available | 0 |
| Automated Dependence Plots | Dec 2, 2019 | Bias DetectionModel Selection | CodeCode Available | 0 |
| Bounding Counterfactuals under Selection Bias | Jul 26, 2022 | Selection bias | CodeCode Available | 0 |
| Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation | Apr 26, 2024 | Heterogeneous Treatment Effect EstimationRepresentation Learning | CodeCode Available | 0 |
| BOBA: Byzantine-Robust Federated Learning with Label Skewness | Aug 27, 2022 | Federated LearningSelection bias | CodeCode Available | 0 |
