| Constrained Online Decision-Making: A Unified Framework | May 11, 2025 | Active Learningcounterfactual | —Unverified | 0 | 0 |
| Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations | Jul 17, 2023 | counterfactual | —Unverified | 0 | 0 |
| Domain aware medical image classifier interpretation by counterfactual impact analysis | Jul 13, 2020 | counterfactual | —Unverified | 0 | 0 |
| Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank | Jun 9, 2018 | counterfactualLearning-To-Rank | —Unverified | 0 | 0 |
| Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach | Dec 8, 2021 | counterfactualDecision Making | —Unverified | 0 | 0 |
| Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference | Jul 19, 2024 | counterfactualCounterfactual Inference | —Unverified | 0 | 0 |
| Do Large Language Models Understand Logic or Just Mimick Context? | Feb 19, 2024 | counterfactualIn-Context Learning | —Unverified | 0 | 0 |
| Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates | Feb 8, 2024 | Code CompletionCode Generation | —Unverified | 0 | 0 |
| Consistent Counterfactuals for Deep Models | Oct 6, 2021 | counterfactualMedical Diagnosis | —Unverified | 0 | 0 |
| Bayesian Hierarchical Models for Counterfactual Estimation | Jan 21, 2023 | counterfactualFairness | —Unverified | 0 | 0 |
