Pooya Molavi

According to our database1, Pooya Molavi authored at least 17 papers between 2010 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2016
Learning to Coordinate in Social Networks.
Oper. Res., 2016

2014
Bayesian Quadratic Network Game Filters.
IEEE Trans. Signal Process., 2014

Information aggregation in a beauty contest game.
Proceedings of the IEEE International Conference on Acoustics, 2014

(Non-)Bayesian learning without recall.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Learning in Network Games with Incomplete Information: Asymptotic Analysis and Tractable Implementation of Rational Behavior.
IEEE Signal Process. Mag., 2013

Reaching Consensus With Increasing Information.
IEEE J. Sel. Top. Signal Process., 2013

Distributed filters for Bayesian network games.
Proceedings of the 21st European Signal Processing Conference, 2013

Learning to coordinate in a beauty contest game.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Non-Bayesian social learning.
Games Econ. Behav., 2012

Network structure and efficiency of observational social learning.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

On consensus and exponentially fast social learning.
Proceedings of the American Control Conference, 2012

Learning in linear games over networks.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Dynamic games with side information in economic networks.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
On Non-Bayesian Social Learning
CoRR, 2011

Aggregate observational distinguishability is necessary and sufficient for social learning.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A topological view of estimation from noisy relative measurements.
Proceedings of the American Control Conference, 2011

2010
On convergence of beliefs in a non-Bayesian model of learning.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010


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