| Incentive Mechanisms for Strategic Classification and Regression Problems | 0 | 0.34 | 2022 |
| Fairness Interventions as (Dis)Incentives for Strategic Manipulation. | 0 | 0.34 | 2022 |
| Improving Fairness And Privacy In Selection Problems | 0 | 0.34 | 2021 |
| Resource Pooling for Shared Fate: Incentivizing Effort in Interdependent Security Games Through Cross-Investments | 0 | 0.34 | 2021 |
| A Robust Energy And Emissions Conscious Cruise Controller For Connected Vehicles With Privacy Considerations | 0 | 0.34 | 2020 |
| How do fair decisions fare in long-term qualification? | 0 | 0.34 | 2020 |
| Recycled Admm: Improving The Privacy And Accuracy Of Distributed Algorithms | 0 | 0.34 | 2020 |
| Incentivizing effort in interdependent security games using resource pooling | 1 | 0.41 | 2019 |
| Effective Premium Discrimination For Designing Cyber Insurance Policies With Rare Losses | 0 | 0.34 | 2019 |
| Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness | 0 | 0.34 | 2019 |
| Predictive Cruise Control with Private Vehicle-to-Vehicle Communication for Improving Fuel Consumption and Emissions | 0 | 0.34 | 2019 |
| Long term impact of fair machine learning in sequential decision making: representation disparity and group retention. | 0 | 0.34 | 2019 |
| Contract design for purchasing private data using a biased differentially private algorithm | 1 | 0.35 | 2019 |
| Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. | 4 | 0.42 | 2018 |
| Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. | 4 | 0.42 | 2018 |
