Sorry for the last minute message. This week we will have what is hopefully our final theory lunch in SAL 322 before moving to the new building. Fatih will be speaking about some work that he has done jointly with David Kempe with the following title and abstract:
Title:
k-Approval Veto: A Spectrum of Voting Rules Balancing Metric Distortion and Minority Protection
Abstract. In the context of single-winner ranked-choice
elections between m candidates, we explore the tradeoff between two
principles that are essential to constitutional democracies: the
majority principle (maximizing the social welfare) and the minority
principle (safeguarding minority groups from overly bad outcomes). To
measure the social welfare, we use the well-established framework of
metric distortion subject to various objectives: utilitarian (i.e.,
total cost), \alpha-percentile (e.g., median cost for \alpha = 1/2), and
egalitarian (i.e., max cost). To measure the protection of minorities,
we introduce the k- Droop minority criterion, which requires that if a
sufficiently large (parametrized by k) coalition T of voters ranks all
candidates in S at the bottom (in any order), then none of the
candidates in S should win. The parameter k allows the criterion to
interpolate between the minimal requirement that the winner must not be
ranked last by a strict majority (when k=1) and the maximal requirement
that the winner must be in the proportional veto core (when k = m - 1).
The highest k for which the criterion is satisfied provides a
well-defined measure of minority protection between k=0 (no protection)
and k=m - 1 (the strongest protection possible to guarantee).
Our main contribution is the analysis of a recently proposed class of
voting rules called k-Approval Veto,
offering a comprehensive range of trade-offs between the two principles.
This class spans between Plurality Veto (for k=1) --- a simple rule
achieving optimal metric distortion --- and Vote by Veto (for k=m) which
picks a candidate from the proportional veto core. We show that
k-Approval Veto has minority protection at least k-1, and thus, it
accommodates any desired level of minority protection via the parameter
k. However, this comes at the price of lower social welfare. For the
utilitarian objective, the metric distortion becomes 2min(k+1, m)-1,
i.e., increases linearly in k. For the \alpha-percentile objective, the
metric distortion is the optimal value of 5 for \alpha \ge k/(k+1) and
unbounded for \alpha < k/(k+1), i.e., the range of \alpha for which
the rule achieves optimal distortion becomes smaller. For the
egalitarian objective, the metric distortion is the optimal value of 3
for all values of k, i.e., there is no trade-off between the egalitarian
objective and minority protection. Thus, our analysis of k-Approval
Veto also establishes that the metric distortion of Plurality Veto is
optimal with respect to all three objectives above, i.e., not only for
the utilitarian objective as previously shown.
TL;DR:
We use the metric distortion framework to analyze a spectrum of voting
rules called k-Approval Veto, which balances the majority and minority
principles as one sees fit via the parameter k.