Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems

DOI10.1137/21M1403977OpenAlexW3104472133MaRDI QIDQ5868548

Joachim Schreurs, Johan A. K. Suykens, Michaël Fanuel

Publication date: 21 September 2022

Published in: SIAM Journal on Mathematics of Data Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2011.06964

zbMATH Keywords

semiparametric regressionNyström approximationdeterminantal point processimplicit regularization

Mathematics Subject Classification ID

Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) General topics in artificial intelligence (68T01)

Related Items (3)

Extended L-ensembles: a new representation for determinantal point processes ⋮ Gaussian process regression in the flat limit ⋮ Determinantal point processes in the flat limit

Uses Software

• gss
• SemiPar

Cites Work

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• Extended L-ensembles: a new representation for determinantal point processes

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