activity
20192026
most citedSublinear Approximation Algorithm for Nash Social Welfare with XOS Valuations

3 citations · 4 across the 11 of their papers we have counts for

collaborators

12 papers

cs.GT2026

Menu Selection: A Computational Approach to Minimizing Food Waste

Haris Aziz, Nicholas Mattei, Shivika Narang +1

We introduce a novel collective decision making problem that captures the ubiquitous issue of ordering food to cater for varied dietary preferences and requirements. Our settings i…

cs.GT2025

Distance Preservation Games

Haris Aziz, Hau Chan, Patrick Lederer +2

We introduce and analyze distance preservation games (DPGs). In DPGs, agents express ideal distances to other agents and need to choose locations in the unit interval while preserv…

cs.GT2025

Maximum Welfare Allocations under Quantile Valuations

Haris Aziz, Shivika Narang, Mashbat Suzuki

We propose a new model for aggregating preferences over a set of indivisible items based on a quantile value. In this model, each agent is endowed with a specific quantile, and the…

cs.GT2024

Strategyproof Matching of Roommates and Rooms

Hadi Hosseini, Shivika Narang, Sanjukta Roy

We initiate the study of matching roommates and rooms wherein the preferences of agents over other agents and rooms are complementary and represented by Leontief utilities. In this…

cs.GT2024

Capacity Modification in the Stable Matching Problem

Salil Gokhale, Shivika Narang, Samarth Singla +1

We study the problem of capacity modification in the many-to-one stable matching of workers and firms. Our goal is to systematically study how the set of stable matchings changes w…

cs.GT2023

Fair Distribution of Delivery Orders

Hadi Hosseini, Shivika Narang, Tomasz Wąs

We initiate the study of fair distribution of delivery tasks among a set of agents wherein delivery jobs are placed along the vertices of a graph. Our goal is to fairly distribute…

cs.GT2022★ 1 cited

Repeatedly Matching Items to Agents Fairly and Efficiently

Ioannis Caragiannis, Shivika Narang

We consider a novel setting where a set of items are matched to the same set of agents repeatedly over multiple rounds. Each agent gets exactly one item per round, which brings int…

cs.GT2021★ 3 cited

Sublinear Approximation Algorithm for Nash Social Welfare with XOS Valuations

Siddharth Barman, Anand Krishna, Pooja Kulkarni +1

We study the problem of allocating indivisible goods among agents with the objective of maximizing Nash social welfare (NSW). This welfare function is defined as the geometric…

cs.GT2020

On Achieving Leximin Fairness and Stability in Many-to-One Matchings

Shivika Narang, Arpita Biswas, Y Narahari

The past few years have seen a surge of work on fairness in allocation problems where items must be fairly divided among agents having individual preferences. In comparison, fairne…

cs.GT2020

Design of Trusted Market Platforms using Permissioned Blockchains and Game Theory

Shivika Narang

The blockchain concept forms the backbone of a new wave technology that promises to be deployed extensively in a wide variety of industrial and societal applications. Governments,…

cs.GT2020

On the Coexistence of Stability and Incentive Compatibility in Fractional Matchings

Shivika Narang, Y Narahari

Stable matchings have been studied extensively in social choice literature. The focus has been mostly on integral matchings, in which the nodes on the two sides are wholly matched.…

cs.GT2019

Fair Division of Indivisible Goods Among Strategic Agents

Siddharth Barman, Ganesh Ghalme, Shweta Jain +2

We study fair division of indivisible goods in a single-parameter environment. In particular, we develop truthful social welfare maximizing mechanisms for fairly allocating indivis…