6 citations · 19 across the 9 of their papers we have counts for
3 papers · 1 filter
Gaussian Process Regression in the Flat Limit
Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay +1
Gaussian process (GP) regression is a fundamental tool in Bayesian statistics. It is also known as kriging and is the Bayesian counterpart to the frequentist kernel ridge regressio…
Extended L-ensembles: a new representation for Determinantal Point Processes
Nicolas Tremblay, Simon Barthelmé, Konstantin Usevich +1
Determinantal point processes (DPPs) are a class of repulsive point processes, popular for their relative simplicity. They are traditionally defined via their marginal distribution…
Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point Processes
Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay
Determinantal Point Processes (DPPs) are popular models for point processes with repulsion. They appear in numerous contexts, from physics to graph theory, and display appealing th…