Bootstrap Confidence Regions for Learned Feature Embeddings

DOI10.1080/10618600.2023.2197478arXiv2202.00180OpenAlexW4362471437MaRDI QIDQ6181403

Kris Sankaran

Publication date: 22 January 2024

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2202.00180

zbMATH Keywords

dimension reductionmachine learningdata visualizationbootstrap/resampling

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Using SVD for Topic Modeling
• On post dimension reduction statistical inference
• Superheat: An R Package for Creating Beautiful and Extendable Heatmaps for Visualizing Complex Data
• Methods for correcting inference based on outcomes predicted by machine learning
• The elements of statistical learning. Data mining, inference, and prediction
• Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm

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