148 citations · 1.1k across the 40 of their papers we have counts for
5 papers · 1 filter
On sampling determinantal and Pfaffian point processes on a quantum computer
Rémi Bardenet, Michaël Fanuel, Alexandre Feller
DPPs were introduced by Macchi as a model in quantum optics the 1970s. Since then, they have been widely used as models and subsampling tools in statistics and computer science. Mo…
On proportional volume sampling for experimental design in general spaces
Arnaud Poinas, Rémi Bardenet
Optimal design for linear regression is a fundamental task in statistics. For finite design spaces, recent progress has shown that random designs drawn using proportional volume sa…
Fast sampling from -ensembles
Guillaume Gautier, Rémi Bardenet, Michal Valko
We study sampling algorithms for -ensembles with time complexity less than cubic in the cardinality of the ensemble. Following Dumitriu & Edelman (2002), we see the ensemble as…
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…
Adaptive MCMC with online relabeling
Rémi Bardenet, Olivier Cappé, Gersende Fort +1
When targeting a distribution that is artificially invariant under some permutations, Markov chain Monte Carlo (MCMC) algorithms face the label-switching problem, rendering margina…