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20162023
most citedKnapsack Voting for Participatory Budgeting

85 citations · 130 across the 9 of their papers we have counts for

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cs.GT2020★ 85 cited

Knapsack Voting for Participatory Budgeting

Ashish Goel, Anilesh K. Krishnaswamy, Sukolsak Sakshuwong +1

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, underline it…

cs.GT2019★ 14 cited

Assortment planning for two-sided sequential matching markets

Itai Ashlagi, Anilesh K. Krishnaswamy, Rahul Makhijani +2

Two-sided matching platforms provide users with menus of match recommendations. To maximize the number of realized matches between the two sides (referred here as customers and sup…

cs.GT2018

Relating Metric Distortion and Fairness of Social Choice Rules

Ashish Goel, Reyna Hulett, Anilesh K. Krishnaswamy

One way of evaluating social choice (voting) rules is through a utilitarian distortion framework. In this model, we assume that agents submit full rankings over the alternatives, a…

cs.GT2018

Implementing the Lexicographic Maxmin Bargaining Solution

Ashish Goel, Anilesh K. Krishnaswamy

There has been much work on exhibiting mechanisms that implement various bargaining solutions, in particular, the Kalai-Smorodinsky solution \cite{moulin1984implementing} and the N…

cs.GT2016★ 3 cited

Re-incentivizing Discovery: Mechanisms for Partial-Progress Sharing in Research

Anilesh Kollagunta Krishnaswamy, Ashish Goel, Siddhartha Banerjee

An essential primitive for an efficient research ecosystem is \emph{partial-progress sharing} (PPS) -- whereby a researcher shares information immediately upon making a breakthroug…

cs.GT2016★ 25 cited

Metric Distortion of Social Choice Rules: Lower Bounds and Fairness Properties

Ashish Goel, Anilesh Kollagunta Krishnaswamy, Kamesh Munagala

We study social choice rules under the utilitarian distortion framework, with an additional metric assumption on the agents' costs over the alternatives. In this approach, these co…