3 citations · 4 across the 4 of their papers we have counts for
6 papers
Spatial Voting with Incomplete Voter Information
Aviram Imber, Jonas Israel, Markus Brill +2
We consider spatial voting where candidates are located in the Euclidean -dimensional space, and each voter ranks candidates based on their distance from the voter's ideal point…
The Consistency of Probabilistic Databases with Independent Cells
Amir Gilad, Aviram Imber, Benny Kimelfeld
A probabilistic database with attribute-level uncertainty consists of relations where cells of some attributes may hold probability distributions rather than deterministic content.…
Approval-Based Committee Voting under Incomplete Information
Aviram Imber, Jonas Israel, Markus Brill +1
We investigate approval-based committee voting with incomplete information about the approval preferences of voters. We consider several models of incompleteness where each voter p…
Probabilistic Inference of Winners in Elections by Independent Random Voters
Aviram Imber, Benny Kimelfeld
We investigate the problem of computing the probability of winning in an election where voter attendance is uncertain. More precisely, we study the setting where, in addition to a…
Computing the Extremal Possible Ranks with Incomplete Preferences
Aviram Imber, Benny Kimelfeld
Various voting rules are based on ranking the candidates by scores induced by aggregating voter preferences. A winner (respectively, unique winner) is a candidate who receives a sc…
The Complexity of Determining the Necessary and Possible Top-k Winners in Partial Voting Profiles
Aviram Imber, Benny Kimelfeld
When voter preferences are known in an incomplete (partial) manner, winner determination is commonly treated as the identification of the necessary and possible winners; these are…