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PODC
2010
ACM
13 years 10 months ago
Bayesian ignorance
We quantify the effect of Bayesian ignorance by comparing the social cost obtained in a Bayesian game by agents with local views to the expected social cost of agents having glob...
Noga Alon, Yuval Emek, Michal Feldman, Moshe Tenne...
ISIPTA
1999
IEEE
169views Mathematics» more  ISIPTA 1999»
13 years 11 months ago
Dempster-Belief Functions Are Based on the Principle of Complete Ignorance
This paper shows that a "principle of complete ignorance" plays a central role in decisions based on Dempster belief functions. Such belief functions occur when, in a fi...
Peter P. Wakker
CORR
2012
Springer
196views Education» more  CORR 2012»
12 years 2 months ago
PAC-Bayesian Policy Evaluation for Reinforcement Learning
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
Mahdi Milani Fard, Joelle Pineau, Csaba Szepesv&aa...
KDD
1994
ACM
123views Data Mining» more  KDD 1994»
13 years 11 months ago
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
David Heckerman, Dan Geiger, David Maxwell Chicker...
ATAL
2006
Springer
13 years 10 months ago
Resource selection games with unknown number of players
In the context of pre-Bayesian games we analyze resource selection systems with unknown number of players. We prove the existence and uniqueness of a symmetric safety-level equili...
Itai Ashlagi, Dov Monderer, Moshe Tennenholtz