| Learning for Counterfactual Fairness from Observational Data | Jul 17, 2023 | AttributeCausal Discovery | —Unverified | 0 |
| Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation | Jan 26, 2023 | FairnessLIDAR Semantic Segmentation | —Unverified | 0 |
| Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing | Sep 16, 2021 | FairnessManagement | —Unverified | 0 |
| Generating Fair Universal Representations using Adversarial Models | Sep 27, 2019 | Activity RecognitionFairness | —Unverified | 0 |
| Learning Human-like Representations to Enable Learning Human Values | Dec 21, 2023 | EthicsFairness | —Unverified | 0 |
| Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint | Feb 17, 2020 | Fairness | —Unverified | 0 |
| Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment | Nov 23, 2023 | Fairness | —Unverified | 0 |
| Learning Optimal Fair Policies | Sep 6, 2018 | Causal InferenceDecision Making | —Unverified | 0 |
| Learning Optimal Fair Scoring Systems for Multi-Class Classification | Apr 11, 2023 | Binary ClassificationClassification | —Unverified | 0 |
| Learning Pareto manifolds in high dimensions: How can regularization help? | Mar 11, 2025 | Fairness | —Unverified | 0 |
