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04/15/2023
An innovative Deep Learning Based Approach for Accurate Agricultural Crop Price Prediction
Accurate prediction of agricultural crop prices is a crucial input for d...
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04/14/2023
Designing Fair, Cost-optimal Auctions based on Deep Learning for Procuring Agricultural Inputs through Farmer Collectives
Procuring agricultural inputs (agri-inputs for short) such as seeds, fer...
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08/31/2022
Recent Advances in Modeling and Control of Epidemics using a Mean Field Approach
Modeling and control of epidemics such as the novel Corona virus have as...
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07/05/2022
Nash Welfare Guarantees for Fair and Efficient Coverage
We study coverage problems in which, for a set of agents and a given thr...
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04/29/2022
Maxmin Participatory Budgeting
Participatory Budgeting (PB) is a popular voting method by which a limit...
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01/19/2022
Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations
We study the problem of allocating indivisible goods among agents in a f...
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09/12/2020
On Achieving Fairness and Stability in Many-to-One Matchings
Matching algorithms have been classically studied with the goal of findi...
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01/24/2020
Ballooning Multi-Armed Bandits
In this paper, we introduce Ballooning Multi-Armed Bandits (BL-MAB), a n...
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01/16/2020
A Study of Incentive Compatibility and Stability Issues in Fractional Matchings
Stable matchings have been studied extensively in both economics and com...
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07/23/2019
Achieving Fairness in the Stochastic Multi-armed Bandit Problem
We study an interesting variant of the stochastic multi-armed bandit pro...
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05/27/2019
Stochastic Multi-armed Bandits with Arm-specific Fairness Guarantees
We study an interesting variant of the stochastic multi-armed bandit pro...
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11/21/2017
Groupwise Maximin Fair Allocation of Indivisible Goods
We study the problem of allocating indivisible goods among n agents in a...
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02/12/2016
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing
We study a problem of allocating divisible jobs, arriving online, to wor...
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01/25/2016
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds
We study the problem of training an accurate linear regression model by ...
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11/13/2015
On Choosing Committees Based on Approval Votes in the Presence of Outliers
We study the computational complexity of committee selection problem for...
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05/04/2015
Estimating the Margin of Victory of an Election using Sampling
The margin of victory of an election is a useful measure to capture the ...
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04/30/2015
Manipulation is Harder with Incomplete Votes
The Coalitional Manipulation (CM) problem has been studied extensively i...
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04/30/2015
Frugal Bribery in Voting
Bribery in elections is an important problem in computational social cho...
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07/06/2009