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Rafael Frongillo
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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
1602016
A Collaborative Mechanism for Crowdsourcing Prediction Problems
J Abernethy, RM Frongillo
Neural Information Processing Systems, 2011
812011
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
792010
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
702012
Vector-valued property elicitation
R Frongillo, IA Kash
Conference on Learning Theory, 710-727, 2015
642015
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
542023
Algorithms for rigorous entropy bounds and symbolic dynamics
S Day, R Frongillo, R Trevino
SIAM J. Appl. Dyn. Syst 7 (4), 1477-1506, 2008
532008
General truthfulness characterizations via convex analysis
RM Frongillo, IA Kash
Games and Economic Behavior, 2021
52*2021
Parallel boosting with momentum
I Mukherjee, K Canini, R Frongillo, Y Singer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
452013
Social Learning in a Changing World
RM Frongillo, G Schoenebeck, O Tamuz
Internet and Network Economics, 2011
352011
Elicitation complexity of statistical properties
RM Frongillo, IA Kash
Biometrika 108 (4), 857-879, 2021
342021
Elicitation for aggregation
RM Frongillo, Y Chen, IA Kash
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
342015
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
An embedding framework for consistent polyhedral surrogates
J Finocchiaro, R Frongillo, B Waggoner
Advances in neural information processing systems, 10781-10791, 2019
312019
On Elicitation Complexity
R Frongillo, I Kash
Advances in Neural Information Processing Systems, 3240-3248, 2015
30*2015
Learning in matrix games can be arbitrarily complex
GP Andrade, R Frongillo, G Piliouras
Conference on Learning Theory, 159-185, 2021
282021
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
282021
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
272012
Measuring performance of peer prediction mechanisms using replicator dynamics
V Shnayder, R Frongillo, DC Parkes, S Harvard
IJCAI-16, 2016
252016
A Market Framework for Eliciting Private Data
B Waggoner, R Frongillo, J Abernethy
24*
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Articles 1–20