We evaluate 179 classifiers arising from 17 families (discriminant analysis, Bayesian, neural
networks, support vector machines, decision trees, rule-based classifiers, boosting, bagging …

Notice: This PDF version was distributed by request to members of the Friends of the SEP
Society and by courtesy to SEP content contributors. It is solely for their fair use …

Participatory budgeting enables the allocation of public funds by collecting and aggregating
individual preferences. It has already had a sizable real-world impact, but making the most …

We study liquid democracy, a collective decision making paradigm that allows voters to
transitively delegate their votes, through an algorithmic lens. In our model, there are two …

In practice, preference learning from human feedback depends on incomplete data with
hidden context. Hidden context refers to data that affects the feedback received, but which is …

How to rank with few errors Page 1 How to Rank with Few Errors A PTAS for Weighted Feedback
Arc Set on Tournaments ∗ Claire Kenyon-Mathieu Warren Schudy † Brown University Computer …

After an introductory section, this article will focus on four questions: How should the Kyoto
School be defined? What is meant by its central philosophical concept of “absolute …

We develop a general framework for social choice problems in which a limited number of
alternatives can be recommended to an agent population. In our budgeted social choice …

We consider voting under metric preferences: both voters and alternatives are associated
with points in a metric space, and each voter prefers alternatives that are closer to her to …

We address the question of aggregating the preferences of voters in the context of
participatory budgeting. We scrutinize the voting method currently used in practice …