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20212026
most citedSix Candidates Suffice to Win a Voter Majority

1 citations · 1 across the 13 of their papers we have counts for

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cs.GT2026

Stable Voting Rules on the Edge of Optimal Metric Distortion

Ziyi Cai, Moses Charikar, Jabari Hastings +3

We prove the existence of a randomized voting rule with metric distortion at most , within of the lower bound of . Our rule comes from a generalization of…

cs.DS2026

Online Matching in Convex Bipartite Graphs

Yilong Feng, Zhihao Gavin Tang, Kangning Wang +1

Online resource-allocation systems, like outpatient scheduling and spectrum allocation, often assign sequentially arriving requests to an ordered pool of scarce resources, where ea…

cs.GT2026

Pessimal Elections for Approximately Dominating Sets

Moses Charikar, Prasanna Ramakrishnan, Kangning Wang

Condorcet's paradox is a foundational result in social choice theory, showing that no matter which candidate wins an election, a majority of voters may prefer some losing candidate…

cs.GT2026

An Exposition of Five Candidates Suffice for a Majority

Moses Charikar, Prasanna Ramakrishnan, Kangning Wang

We give a brief exposition of a result of Song, Nguyen, and Lin (2026) that every election (with ranked preferences) has a Condorcet winning set of at most five candidates.

cs.DS2026

Additively Competitive Secretaries

Mohammad Mahdian, Jieming Mao, Enze Sun +2

In the secretary problem, a set of secretary candidates arrive in a uniformly random order and reveal their values one by one. A company, who can only hire one candidate and hopes…

cs.GT2026

Winning in the Limit: Average-Case Committee Selection with Many Candidates

Yifan Lin, Shenyu Qin, Kangning Wang +1

We study the committee selection problem in the canonical impartial culture model with a large number of voters and an even larger candidate set. Here, each voter independently rep…

cs.GT2026

Distortion of Metric Voting with Bounded Randomness

Ziyi Cai, D. D. Gao, Prasanna Ramakrishnan +1

We study the design of voting rules in the metric distortion framework. It is known that any deterministic rule suffers distortion of at least , and that randomized rules can ac…