Informed truthfulness in multi-task peer prediction V Shnayder, A Agarwal, R Frongillo, DC Parkes Proceedings of the 2016 ACM Conference on Economics and Computation, 179-196, 2016 | 151 | 2016 |
A Collaborative Mechanism for Crowdsourcing Prediction Problems J Abernethy, RM Frongillo Neural Information Processing Systems, 2011 | 77 | 2011 |
On learning algorithms for nash equilibria C Daskalakis, R Frongillo, CH Papadimitriou, G Pierrakos, G Valiant International Symposium on Algorithmic Game Theory, 114-125, 2010 | 76 | 2010 |
A Characterization of Scoring Rules for Linear Properties. JD Abernethy, RM Frongillo Journal of Machine Learning Research-Proceedings Track 23, 27.1-27.13, 2012 | 67 | 2012 |
Vector-valued property elicitation R Frongillo, IA Kash Conference on Learning Theory, 710-727, 2015 | 60 | 2015 |
Algorithms for rigorous entropy bounds and symbolic dynamics S Day, R Frongillo, R Trevino SIAM J. Appl. Dyn. Syst 7 (4), 1477-1506, 2008 | 53 | 2008 |
General truthfulness characterizations via convex analysis RM Frongillo, IA Kash Games and Economic Behavior, 2021 | 51* | 2021 |
Getting the lay of the land in discrete space: A survey of metric dimension and its applications RC Tillquist, RM Frongillo, ME Lladser SIAM Review 65 (4), 919-962, 2023 | 47 | 2023 |
Parallel boosting with momentum I Mukherjee, K Canini, R Frongillo, Y Singer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 45 | 2013 |
Elicitation for aggregation RM Frongillo, Y Chen, IA Kash Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 34 | 2015 |
Interpreting prediction markets: a stochastic approach N Della Penna, M Reid, R Frongillo Advances in Neural Information Processing Systems 25, 3275-3283, 2012 | 34* | 2012 |
Social Learning in a Changing World RM Frongillo, G Schoenebeck, O Tamuz Internet and Network Economics, 2011 | 34 | 2011 |
Elicitation complexity of statistical properties RM Frongillo, IA Kash Biometrika 108 (4), 857-879, 2021 | 33 | 2021 |
An embedding framework for consistent polyhedral surrogates J Finocchiaro, R Frongillo, B Waggoner Advances in neural information processing systems, 10781-10791, 2019 | 31 | 2019 |
On Elicitation Complexity R Frongillo, I Kash Advances in Neural Information Processing Systems, 3240-3248, 2015 | 29* | 2015 |
Forecast evaluation of quantiles, prediction intervals, and other set-valued functionals T Fissler, R Frongillo, J Hlavinová, B Rudloff Electronic Journal of Statistics 15 (1), 1034-1084, 2021 | 28 | 2021 |
Minimax option pricing meets black-scholes in the limit J Abernethy, RM Frongillo, A Wibisono Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012 | 26 | 2012 |
Learning in matrix games can be arbitrarily complex GP Andrade, R Frongillo, G Piliouras Conference on Learning Theory, 159-185, 2021 | 25 | 2021 |
Measuring performance of peer prediction mechanisms using replicator dynamics V Shnayder, R Frongillo, DC Parkes, S Harvard IJCAI-16, 2016 | 25 | 2016 |
A Market Framework for Eliciting Private Data B Waggoner, R Frongillo, J Abernethy | 23* | |