Determinantal point processes in the flat limit

DOI10.3150/22-BEJ1486MaRDI QIDQ2692518

Konstantin Usevich, Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard

Publication date: 22 March 2023

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.07213

zbMATH Keywords

kernel methodsdeterminantal point processesflat limit

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Stochastic processes (60Gxx) Approximations and expansions (41Axx)

Related Items (3)

Extended L-ensembles: a new representation for determinantal point processes ⋮ Gaussian process regression in the flat limit ⋮ Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems

Cites Work

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• Determinantal Point Processes for Machine Learning
• The coincidence approach to stochastic point processes
• Spectral Properties of Kernel Matrices in the Flat Limit
• Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems
• Scattered Data Approximation

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