| Efficient elicitation approaches to estimate collective crowd answers JJY Chung, JY Song, S Kutty, S Hong, J Kim, WS Lasecki Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-25, 2019 | 69 | 2019 |
| Information aggregation in exponential family markets J Abernethy, S Kutty, S Lahaie, R Sami Proceedings of the fifteenth ACM conference on Economics and computation …, 2014 | 28 | 2014 |
| Robustness of fairness: An experimental analysis S Kamp, ALL Zhao, S Kutty Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 9 | 2021 |
| On risk measures, market making, and exponential families JD Abernethy, RM Frongillo, S Kutty ACM SIGecom Exchanges 13 (2), 21-25, 2015 | 3 | 2015 |
| Timing is money: the impact of arrival order in beta-bernoulli prediction markets B Martin, M Chakraborty, S Kutty Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021 | 2 | 2021 |
| A prediction market approach to learning with sequential advice S Kutty, R Sami NIPS Workshop on Computational Social Science and the Wisdom of Crowds …, 2010 | 2 | 2010 |
| Undergraduate Student Research With Low Faculty Cost S Kutty, M Guzdial 2020 Research on Equity and Sustained Participation in Engineering …, 2020 | 1 | 2020 |
| All men count with you, but none too much: information aggregation and learning in prediction markets SK Kutty University of Michigan, 2015 | 1 | 2015 |
| Bounded regret sequential learning using prediction markets S Kutty, R Sami NIPS Workshop on Relations between Machine Learning Problems, 2011 | 1 | 2011 |
| Robustness of Fairness in Machine Learning S Kamp, A Luis Li Zhao, S Kutty | | 2022 |
| Strategic reporting in exponential family prediction markets Z Shi, S Kutty 2016 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-4, 2016 | | 2016 |
| Recommendations and Predictions With ϵt-greedy Active Learning S Kutty, F Yu | | 2009 |
| Belief Aggregation and Trader Compensation in Infinite Outcome Prediction Markets B Martin, M Chakraborty, S Kutty | | |
