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News/NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
arxiv
PublishedJuly 23, 2026 at 4:00 AM
▲bullish

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2602.03901v5 Announce Type: replace Abstract: The pursuit of optimal trade-offs in high-dimensional search spaces under stringent computational constraints poses a fundamental challenge for contemporary multi-objective optimization. We develop NeuroPareto, a cohesive architecture that integrat

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Discussion
Mentioned models
04
  • 01
    NeuroPareto
  • 02
    Deep Gaussian Process
  • 03
    Bayesian classifier
  • 04
    acquisition network
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#multi-objective-optimization#machine-learning#bayesian-methods

No replies yet. Be first.

Mentioned models
04
  • 01
    NeuroPareto
  • 02
    Deep Gaussian Process
  • 03
    Bayesian classifier
  • 04
    acquisition network
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#multi-objective-optimization#machine-learning#bayesian-methods

Related coverage

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arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response17h
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