| Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems | Nov 5, 2019 | FairnessRecommendation Systems | —Unverified | 0 | 0 |
| Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design | Aug 8, 2022 | FairnessRecommendation Systems | —Unverified | 0 | 0 |
| PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities | Mar 5, 2023 | FairnessMulti-agent Reinforcement Learning | —Unverified | 0 | 0 |
| Precision psychiatry: predicting predictability | Jun 21, 2023 | Fairness | —Unverified | 0 | 0 |
| Precoder Learning for Weighted Sum Rate Maximization | Mar 6, 2025 | Fairness | —Unverified | 0 | 0 |
| Predictability and Fairness in Load Aggregation and Operations of Virtual Power Plants | Oct 6, 2021 | Fairness | —Unverified | 0 | 0 |
| Predictability and Fairness in Load Aggregation with Deadband | May 28, 2023 | Fairness | —Unverified | 0 | 0 |
| Predictability and Fairness in Social Sensing | Jul 31, 2020 | Fairness | —Unverified | 0 | 0 |
| (Predictable) Performance Bias in Unsupervised Anomaly Detection | Sep 25, 2023 | Anomaly DetectionFairness | —Unverified | 0 | 0 |
| Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations | Mar 16, 2021 | Fairness | —Unverified | 0 | 0 |
