148 citations · 1.1k across the 40 of their papers we have counts for
Showing 2015Show all
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stat.CO2015★ 7 cited
Inference for determinantal point processes without spectral knowledge
Rémi Bardenet, Michalis K. Titsias
Determinantal point processes (DPPs) are point process models that naturally encode diversity between the points of a given realization, through a positive definite kernel . DPP…
stat.ME2015★ 133 cited
On Markov chain Monte Carlo methods for tall data
Rémi Bardenet, Arnaud Doucet, Chris Holmes
Markov chain Monte Carlo methods are often deemed too computationally intensive to be of any practical use for big data applications, and in particular for inference on datasets co…