Dependent Normalized Random Measures
In this paper we propose two constructions of dependent normalized random measures, a class of nonparametric priors over dependent probability measures. Our constructions, which we call mixed normalized random measures (MNRM) and thinned normalized random measures (TNRM), involve (respectively) weighting and thinning parts of a shared underlying Poisson process before combining them together. We show that both MNRM and TNRM are marginally normalized random measures, resulting in well understood...[Show more]
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|Source:||The Sample-Complexity of General Reinforcement Learning|
|01_Chen_Dependent_Normalized_Random_2013.pdf||424.56 kB||Adobe PDF||Request a copy|
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