Rafael Frongillo

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Bo WaggonerUniversity of Colorado, BoulderVerifisert e-postadresse på colorado.edu
Ian KashUniversity of Illinois at ChicagoVerifisert e-postadresse på uic.edu
Jacob AbernethyAssistant Professor, University of MichiganVerifisert e-postadresse på umich.edu
Mark D. ReidAppleVerifisert e-postadresse på reid.name
Manuel LladserDepartment of Applied Mathematics, University of Colorado - BoulderVerifisert e-postadresse på colorado.edu
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerifisert e-postadresse på eecs.harvard.edu
Anish ThilagarUniversity of Colorado BoulderVerifisert e-postadresse på colorado.edu
Gabriel P AndradeApplied Scientist at AmazonVerifisert e-postadresse på amazon.com
Rodrigo TreviñoUniversity of Maryland, College ParkVerifisert e-postadresse på math.umd.edu
Yiling ChenHarvard UniversityVerifisert e-postadresse på seas.harvard.edu
Andre WibisonoAssistant Professor at Yale UniversityVerifisert e-postadresse på yale.edu
Nishant A. MehtaAssistant Professor, University of VictoriaVerifisert e-postadresse på uvic.ca
Georgios PiliourasGoogle DeepMind, Singapore University of Technology and DesignVerifisert e-postadresse på google.com
Jens WitkowskiAssociate Professor of Computer Science and Management, Frankfurt School of Finance & ManagementVerifisert e-postadresse på fs.de
Constantinos DaskalakisProfessor of Computer Science, MITVerifisert e-postadresse på csail.mit.edu
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityVerifisert e-postadresse på stanford.edu
Robert C. WilliamsonUniversity of TübingenVerifisert e-postadresse på uni-tuebingen.de
Christos H PAPADIMITRIOUColumbia UniversityVerifisert e-postadresse på columbia.edu
Tobias FisslerETH ZurichVerifisert e-postadresse på math.ethz.ch
Birgit RudloffProfessor at Vienna University of Economics and Business, Institute for Statistics and MathematicsVerifisert e-postadresse på wu.ac.at

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Rafael Frongillo

Computer Science, CU Boulder

Verifisert e-postadresse på colorado.edu - Startside

Algorithmic economics machine learning information elicitation game-theoretic probability


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	160	2016
A Collaborative Mechanism for Crowdsourcing Prediction Problems J Abernethy, RM Frongillo Neural Information Processing Systems, 2011	80	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	79	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	70	2012
Vector-valued property elicitation R Frongillo, IA Kash Conference on Learning Theory, 710-727, 2015	64	2015
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	54	2023
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
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
Social Learning in a Changing World RM Frongillo, G Schoenebeck, O Tamuz Internet and Network Economics, 2011	35	2011
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
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	30*	2015
Learning in matrix games can be arbitrarily complex GP Andrade, R Frongillo, G Piliouras Conference on Learning Theory, 159-185, 2021	28	2021
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
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	24*

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