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On two ways to use determinantal point processes for Monte Carlo integration
Author(s) -
Guillaume Gautier,
Rémi Bardenet,
Michal Valko
Publication year - 2019
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - estimator , monte carlo method , kernel (algebra) , monte carlo integration , mathematics , hybrid monte carlo , determinantal point process , point process , statistical physics , mathematical optimization , eigenvalues and eigenvectors , markov chain monte carlo , statistics , random matrix , pure mathematics , physics , quantum mechanics

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