Error bounds for any regression model using Gaussian processes with gradient information

Research output: Contribution to journal › Conference article › Scientific › peer-review

Original language	English
Journal	Proceedings of Machine Learning Research
Volume	238
Pages (from-to)	397-405
Number of pages	9
ISSN	2640-3498
Publication status	Published - 2024
MoE publication type	A4 Article in conference proceedings
Event	International Conference on Artificial Intelligence and Statistics - Valencia, Spain Duration: 2 May 2024 → 4 May 2024 Conference number: 27 http://aistats.org/aistats2024/

Fields of Science

@article{b713455c1b2c4ae28448b77823fe2a43,

title = "Error bounds for any regression model using Gaussian processes with gradient information",

keywords = "113 Computer and information sciences",

author = "Rafael Savvides and Luu, {Hoang Phuc Hau} and Kai Puolam{\"a}ki",

year = "2024",

language = "English",

volume = "238",

pages = "397--405",

journal = "Proceedings of Machine Learning Research",

issn = "2640-3498",

publisher = "ML Research Press",

note = "International Conference on Artificial Intelligence and Statistics, AISTATS ; Conference date: 02-05-2024 Through 04-05-2024",

url = "http://aistats.org/aistats2024/",

}

TY - JOUR

T1 - Error bounds for any regression model using Gaussian processes with gradient information

AU - Savvides, Rafael

AU - Luu, Hoang Phuc Hau

AU - Puolamäki, Kai

N1 - Conference code: 27

PY - 2024

Y1 - 2024

KW - 113 Computer and information sciences

M3 - Conference article

SN - 2640-3498

VL - 238

SP - 397

EP - 405

JO - Proceedings of Machine Learning Research

JF - Proceedings of Machine Learning Research

T2 - International Conference on Artificial Intelligence and Statistics

Y2 - 2 May 2024 through 4 May 2024

ER -