Journal Papers (2)
Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, Y. Narahari. A Quality Assuring, Cost Optimal Multi-Armed Bandit Mechanism for Expertsourcing. Artificial Intelligence, January 2018, 254, 44--63, Elsevier.
Shweta Jain, Satyanath Bhat, Ganesh Ghalme, Divya Padmanabhan, and Y. Narahari. Mechanisms with Learning for Stochastic Multi-armed Bandit Problems. Indian Journal of Pure and Applied Mathematics, June 2016, 47, 229--272, Indian National Science Academy.
Conference Papers (9)
Aritra Chaterjee, Ganesh Ghalme, Shweta Jain, Rohit Vaish, Y. Narahari. On Thompson Sampling for Stochastic Sleeping Multiarmed Bandits Problem with Adversarial Availability. International Conference on Uncertainty in AI (UAI), August 2017
Ganesh Ghalme, Shweta Jain, Sujit Gujar, Y. Narahari. Thompson Sampling Based Mechanisms for Stochastic Multiarmed Bandit Problems. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May 2017, 87--95, International Foundation for Autonomous Agents and Multiagent Systems.
Shweta Jain, Ganesh Ghalme, Satyanath Bhat, Sujit Gujar, and Y. Narahari. A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May 2016, 86--94, International Foundation for Autonomous Agents and Multiagent Systems.
Satyanath Bhat, Divya Padmanabhan, Shweta Jain, and Y. Narahari. A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May 2016, 1385--1386, International Foundation for Autonomous Agents and Multiagent Systems.
Satyanath Bhat, Shweta Jain, Sujit Gujar and Y. Narahari. An Optimal Bidimensional Multi-armed Bandit Auction for Multi-unit Procurement . In Proceedings of the 2015 International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 1789-1790, 2016.
Arpita Biswas, Shweta Jain, Debmalya Mandal, and Y. Narahari. A Truthful Budget Feasible Multi-armed Bandit Mechanism for Crowdsourcing Time Critical Tasks . In Proceedings of the 2015 International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 1101-1109, 2015.
Shweta Jain, Sujit Gujar, Onno Zoeter, and Y. Narahari. A Quality Assuring Multi-armed Bandit Crowdsourcing Mechanism with Incentive Compatible Learning. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 1609-1610, 2014.
Shweta Jain, Balakrishnan Narayanaswamy, and Y. Narahari. A Multi-armed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids. In Proceedings of Twent-Eighth {AAAI} Conference on Artificial Intelligence (AAAI), 721-727, 2014.
Shweta Jain, Balakrishnan Narayanaswamy, Y. Narahari, Saiful A. Hussain, Nyuk Yoong Voo. Constrained T{\^{a}}tonnement for Fast and Incentive Compatible Distributed Demand Management in Smart Grids. In the Proceeding of the Fourth International Conference on Future Energy Systems (e-Energy), 125-136, 2013
Arxiv Papers
Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, and Y. Narahari. An Incentive Compatible Multi-armed Bandit Crowdsourcing Mechanism with Quality Assurance.
Satyanath Bhat, Divya Padmanabhan, Shweta Jain, and Y. Narahari. A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing.