| Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models | Feb 15, 2024 | FairnessFew-Shot Learning | —Unverified | 0 | 0 |
| Proof-of-Data: A Consensus Protocol for Collaborative Intelligence | Jan 6, 2025 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Properties of Group Fairness Metrics for Rankings | Dec 29, 2022 | Fairness | —Unverified | 0 | 0 |
| PROPm Allocations of Indivisible Goods to Multiple Agents | May 24, 2021 | Fairness | —Unverified | 0 | 0 |
| Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy | Jul 1, 2018 | BIG-bench Machine LearningDiversity | —Unverified | 0 | 0 |
| Proportional Fairness in Clustering: A Social Choice Perspective | Oct 27, 2023 | ClusteringFairness | —Unverified | 0 | 0 |
| Proportional Fairness in Non-Centroid Clustering | Oct 30, 2024 | ClusteringFairness | —Unverified | 0 | 0 |
| Proportional Fairness in Obnoxious Facility Location | Jan 11, 2023 | Fairness | —Unverified | 0 | 0 |
| Proportionally Representative Clustering | Apr 27, 2023 | ClusteringFairness | —Unverified | 0 | 0 |
| Proportional Representation in Metric Spaces and Low-Distortion Committee Selection | Dec 16, 2023 | Fairness | —Unverified | 0 | 0 |
| ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning | Oct 13, 2020 | Deep LearningFairness | —Unverified | 0 | 0 |
| Proposing an Interactive Audit Pipeline for Visual Privacy Research | Nov 7, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Prosocial Norm Emergence in Multiagent Systems | Dec 29, 2020 | Decision MakingFairness | —Unverified | 0 | 0 |
| Protected group bias and stereotypes in Large Language Models | Mar 21, 2024 | DiversityEthics | —Unverified | 0 | 0 |
| Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions | May 8, 2021 | AttributeClustering | —Unverified | 0 | 0 |
| Protecting the Protected Group: Circumventing Harmful Fairness | May 25, 2019 | Crime PredictionFairness | —Unverified | 0 | 0 |
| Provable Detection of Propagating Sampling Bias in Prediction Models | Feb 13, 2023 | Fairness | —Unverified | 0 | 0 |
| Provable Fairness for Neural Network Models using Formal Verification | Dec 16, 2022 | Decision MakingFairness | —Unverified | 0 | 0 |
| Provable Multi-Party Reinforcement Learning with Diverse Human Feedback | Mar 8, 2024 | FairnessMeta-Learning | —Unverified | 0 | 0 |
| Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning | Jun 9, 2024 | AttributeContrastive Learning | —Unverified | 0 | 0 |
| Trade-offs between membership privacy & adversarially robust learning | Jun 8, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 | 0 |
| Fair Federated Learning via Bounded Group Loss | Mar 18, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Provably Training Overparameterized Neural Network Classifiers with Non-convex Constraints | Dec 30, 2020 | Fairnessimbalanced classification | —Unverified | 0 | 0 |
| ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups | Oct 2, 2024 | Data AugmentationFairness | —Unverified | 0 | 0 |
| Proxy Fairness | Jun 28, 2018 | Fairness | —Unverified | 0 | 0 |