Rafael Frongillo
Rafael Frongillo
Computer Science, CU Boulder
Verified email at cs.berkeley.edu - Homepage
Cited by
Cited by
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
A Collaborative Mechanism for Crowdsourcing Prediction Problems
J Abernethy, RM Frongillo
Neural Information Processing Systems, 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
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
Vector-valued property elicitation
R Frongillo, IA Kash
Conference on Learning Theory, 710-727, 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
General truthfulness characterizations via convex analysis
R Frongillo, I Kash
International Conference on Web and Internet Economics, 354-370, 2014
Parallel boosting with momentum
I Mukherjee, K Canini, R Frongillo, Y Singer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
Interpreting prediction markets: a stochastic approach
N Della Penna, M Reid, R Frongillo
Advances in Neural Information Processing Systems 25, 3275-3283, 2012
Elicitation for aggregation
RM Frongillo, Y Chen, IA Kash
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Social Learning in a Changing World
RM Frongillo, G Schoenebeck, O Tamuz
Internet and Network Economics, 2011
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
On Elicitation Complexity
R Frongillo, I Kash
Advances in Neural Information Processing Systems, 3240-3248, 2015
Measuring performance of peer prediction mechanisms using replicator dynamics
V Shnayder, R Frongillo, DC Parkes, S Harvard
IJCAI-16, 2016
A Market Framework for Eliciting Private Data
B Waggoner, R Frongillo, J Abernethy
Generalized mixability via entropic duality
MD Reid, RM Frongillo, RC Williamson, N Mehta
Conference on Learning Theory, 1501-1522, 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
R Frongillo, MD Reid
Advances in Neural Information Processing Systems, 3016-3024, 2015
A geometric method to construct minimal peer prediction mechanisms
R Frongillo, J Witkowski
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
J Abernethy, P Bartlett, R Frongillo, A Wibisono
Advances in Neural Information Processing Systems, 2346-2354, 2013
Symmetric fractal trees in three dimensions
RM Frongillo, E Lock, DA Brown
Chaos, Solitons & Fractals 32 (2), 284-295, 2007
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