Comments on: ``On active learning methods for manifold data

DOI10.1007/S11749-019-00695-XzbMath1439.62263OpenAlexW2998093135WikidataQ126411683 ScholiaQ126411683MaRDI QIDQ2177724

Abhik Ghosh

Publication date: 6 May 2020

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-019-00695-x

zbMATH Keywords

manifold dataactive learning methods

Mathematics Subject Classification ID

Gaussian processes (60G15) Statistics on manifolds (62R30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Optimal statistical designs (62K05) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Robust Bayes estimation using the density power divergence
• Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it
• PAC-Bayesian bounds for sparse regression estimation with exponential weights
• A weighted strategy to handle likelihood uncertainty in Bayesian inference
• Robust likelihood functions in Bayesian inference
• Bayesian model robustness via disparities
• The Influence Curve and Its Role in Robust Estimation
• Robust and efficient estimation by minimising a density power divergence
• Choosing a robustness tuning parameter
• Statistical Inference

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