In this work, we consider the contextual multi-armed bandit problem in the presence of strategic agents in the context of sponsored search auction. In this setting, an advertising platform (center) runs a repeated auction to select the best-suited ads relevant to the user’s query. The center aspires to select an ad that has a high … Continue reading Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions
Authors: Sanidhay Arora, Anurag Jain, Sankarshan Damle, and Dr. Sujit Gujar Abstract. Most cryptocurrencies are practically limited, mostly because of their significant time to finality and lack of scalability. Moreover, most of the existing literature for blockchain consensus protocols assumes the miners as honest. The assumption results in the protocols being susceptible to strategic attacks … Continue reading ASHWAChain: A Fast, Scalable and Strategy-proof Committee-based Blockchain Protocol
Accepted in INFOCOM 2020
Sankarshan Damle,Moin Hussain Moti,Praphul Chandra,Sujar Gujar Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019 Abstract In the last decade, civic crowdfunding has proved to be effective in generating funds for the provision of public projects. However, the existing literature deals only with citizen’s with positive valuation and symmetric belief towards the … Continue reading Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs
Paper presented at IJCAI 2019, Macao, China.
A fair reward mechanism for location-based crowdsensing queries.