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20182026
most citedBreaking the Metric Voting Distortion Barrier

4 citations · 7 across the 10 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.GT2026

Pareto Inefficiency of EFX

Sepideh Mahabadi, Prasanna Ramakrishnan, Jakub Tarnawski

We consider the problem of allocating indivisible goods to agents with additive valuations, under two classic notions of fairness and efficiency: envy-freeness up to any good (EFX)…

cs.CC2026

Optimal Shallow Circuits for Majority

Victor Lecomte, Prasanna Ramakrishnan

Four decades on, Håstad's classical lower bound for depth- circuits computing Parity remains the best known circuit lower bound for any expl…

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.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.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…