| A multiarmed bandit incentive mechanism for crowdsourcing demand response in smart grids S Jain, B Narayanaswamy, Y Narahari Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 72 | 2014 |
| A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. A Biswas, S Jain, D Mandal, Y Narahari AAMAS, 1101-1109, 2015 | 65 | 2015 |
| A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing S Jain, S Gujar, S Bhat, O Zoeter, Y Narahari Artificial Intelligence 254, 44-63, 2018 | 40* | 2018 |
| Fair division of indivisible goods among strategic agents S Barman, G Ghalme, S Jain, P Kulkarni, S Narang arXiv preprint arXiv:1901.09427, 2019 | 34 | 2019 |
| Analysis of Thompson Sampling for Stochastic Sleeping Bandits. A Chatterjee, G Ghalme, S Jain, R Vaish, Y Narahari UAI, 2017 | 19 | 2017 |
| An optimal bidimensional multi-armed bandit auction for multi-unit procurement S Bhat, S Jain, S Gujar, Y Narahari Annals of Mathematics and Artificial Intelligence 85, 1-19, 2019 | 17 | 2019 |
| A deterministic mab mechanism for crowdsourcing with logarithmic regret and immediate payments S Jain, G Ghalme, S Bhat, S Gujar, Y Narahari Proceedings of the 2016 International Conference on Autonomous Agents …, 2016 | 17 | 2016 |
| A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids S Jain, S Gujar | 15* | 2020 |
| Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems. G Ghalme, S Jain, S Gujar, Y Narahari AAMAS, 87-95, 2017 | 12 | 2017 |
| Constrained tâtonnement for fast and incentive compatible distributed demand management in smart grids S Jain, N Balakrishnan, Y Narahari, SA Hussain, NY Voo Proceedings of the fourth international conference on Future energy systems …, 2013 | 12 | 2013 |
| Exploring and mitigating gender bias in book recommender systems with explicit feedback S Saxena, S Jain Journal of Intelligent Information Systems, 1-22, 2024 | 10* | 2024 |
| Budgeted combinatorial multi-armed bandits D Das, S Jain, S Gujar arXiv preprint arXiv:2202.03704, 2022 | 9 | 2022 |
| MAIRE-a model-agnostic interpretable rule extraction procedure for explaining classifiers R Sharma, N Reddy, V Kamakshi, NC Krishnan, S Jain Machine Learning and Knowledge Extraction: 5th IFIP TC 5, TC 12, WG 8.4, WG …, 2021 | 7 | 2021 |
| Designing truthful contextual multi-armed bandits based sponsored search auctions K Abhishek, S Jain, S Gujar arXiv preprint arXiv:2002.11349, 2020 | 7 | 2020 |
| Mechanisms with learning for stochastic multi-armed bandit problems S Jain, S Bhat, G Ghalme, D Padmanabhan, Y Narahari Indian Journal of Pure and Applied Mathematics 47, 229-272, 2016 | 7 | 2016 |
| Efficient algorithms for fair clustering with a new notion of fairness S Gupta, G Ghalme, NC Krishnan, S Jain Data Mining and Knowledge Discovery 37 (5), 1959-1997, 2023 | 6 | 2023 |
| An incentive compatible multi-armed-bandit crowdsourcing mechanism with quality assurance S Jain, S Gujar, S Bhat, O Zoeter, Y Narahari arXiv preprint arXiv:1406.7157, 2014 | 6 | 2014 |
| Ballooning multi-armed bandits G Ghalme, S Dhamal, S Jain, S Gujar, Y Narahari Artificial Intelligence 296, 103485, 2021 | 5 | 2021 |
| Design of coalition resistant credit score functions for online discussion forums G Ghalme, S Gujar, A Kumar, S Jain, Y Narahari Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 5 | 2018 |
| Foundations of blockchain technology for industrial and societal applications S Narang, P Chandra, S Jain, Y Narahari Adv. Comput. Commun 2, 32-51, 2018 | 4 | 2018 |
y. narahariProfessor of Computer Science, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
