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math.ST2022
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…
math.ST2021
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…