| Efficient Classification with Counterfactual Reasoning and Active Learning | Jul 25, 2022 | Active LearningClassification | CodeCode Available | 0 |
| Efficient computation of contrastive explanations | Oct 6, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 |
| Efficient computation of counterfactual explanations of LVQ models | Aug 2, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 |
| Argumentative Ensembling for Robust Recourse under Model Multiplicity | Jun 25, 2025 | counterfactual | CodeCode Available | 0 |
| Are Large Language Models Good at Utility Judgments? | Mar 28, 2024 | Answer GenerationBenchmarking | CodeCode Available | 0 |
| Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness | Aug 6, 2024 | counterfactualFairness | CodeCode Available | 0 |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games | Feb 13, 2021 | counterfactualDecision Making | CodeCode Available | 0 |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections | May 24, 2022 | counterfactualDecision Making | CodeCode Available | 0 |
| CF-OPT: Counterfactual Explanations for Structured Prediction | May 28, 2024 | counterfactualPrediction | CodeCode Available | 0 |
| Neural Replicator Dynamics | Jun 1, 2019 | counterfactualDeep Reinforcement Learning | CodeCode Available | 0 |
| Efficient Search for Diverse Coherent Explanations | Jan 2, 2019 | counterfactual | CodeCode Available | 0 |
| Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing | May 25, 2022 | counterfactualData Augmentation | CodeCode Available | 0 |
| Learning Interpretable Low-dimensional Representation via Physical Symmetry | Feb 5, 2023 | counterfactualTime Series | CodeCode Available | 0 |
| Learning Linear Causal Representations from Interventions under General Nonlinear Mixing | Jun 4, 2023 | counterfactual | CodeCode Available | 0 |
| Learning Matching Representations for Individualized Organ Transplantation Allocation | Jan 28, 2021 | counterfactualRepresentation Learning | CodeCode Available | 0 |
| Causal Expectation-Maximisation | Nov 4, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Does It Make Sense to Explain a Black Box With Another Black Box? | Apr 23, 2024 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification | Oct 1, 2024 | counterfactual | CodeCode Available | 0 |
| Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity | Jun 7, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 |
| Sequential Counterfactual Risk Minimization | Feb 23, 2023 | counterfactual | CodeCode Available | 0 |
| Endogenous Macrodynamics in Algorithmic Recourse | Aug 16, 2023 | counterfactualvalid | CodeCode Available | 0 |
| Predicting the impact of treatments over time with uncertainty aware neural differential equations | Feb 24, 2022 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Distinguishing Cause from Effect with Causal Velocity Models | Feb 7, 2025 | Causal Discoverycounterfactual | CodeCode Available | 0 |
| Enhancing Counterfactual Classification via Self-Training | Dec 8, 2021 | Classificationcounterfactual | CodeCode Available | 0 |