51 citations · 53 across the 4 of their papers we have counts for
4 papers
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences
Haoyue Ping, Julia Stoyanovich
It remains an open question how to determine the winner of an election when voter preferences are incomplete or uncertain. One option is to assume some probability space over the v…
Supporting Hard Queries over Probabilistic Preferences
Haoyue Ping, Julia Stoyanovich, Benny Kimelfeld
Preference analysis is widely applied in various domains such as social choice and e-commerce. A recently proposed framework augments the relational database with a preference rela…
MobilityMirror: Bias-Adjusted Transportation Datasets
Luke Rodriguez, Babak Salimi, Haoyue Ping +2
We describe customized synthetic datasets for publishing mobility data. Private companies are providing new transportation modalities, and their data is of high value for integrati…
Synthetic Data for Social Good
Bill Howe, Julia Stoyanovich, Haoyue Ping +2
Data for good implies unfettered access to data. But data owners must be conservative about how, when, and why they share data or risk violating the trust of the people they aim to…