47 citations · 102 across the 27 of their papers we have counts for
6 papers · 1 filter
Multi-Agent Combinatorial-Multi-Armed-Bandit framework for the Submodular Welfare Problem under Bandit Feedback
Subham Pokhriyal, Shweta Jain, Vaneet Aggarwal
We study the \emph{Submodular Welfare Problem} (SWP), where items are partitioned among agents with monotone submodular utilities to maximize the total welfare under \emph{bandit f…
Individual Fairness in Feature-Based Pricing for Monopoly Markets
Shantanu Das, Swapnil Dhamal, Ganesh Ghalme +2
We study fairness in the context of feature-based price discrimination in monopoly markets. We propose a new notion of individual fairness, namely, α-fairness, which guarantees tha…
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions
Kumar Abhishek, Shweta Jain, Sujit Gujar
For sponsored search auctions, we consider contextual multi-armed bandit problem in the presence of strategic agents. In this setting, at each round, an advertising platform (cente…
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…
An Optimal Bidimensional Multi-Armed Bandit Auction for Multi-unit Procurement
Satyanath Bhat, Shweta Jain, Sujit Gujar +1
We study the problem of a buyer (aka auctioneer) who gains stochastic rewards by procuring multiple units of a service or item from a pool of heterogeneous strategic agents. The re…
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance
Shweta Jain, Sujit Gujar, Satyanath Bhat +2
Consider a requester who wishes to crowdsource a series of identical binary labeling tasks to a pool of workers so as to achieve an assured accuracy for each task, in a cost optima…