8 citations · 30 across the 5 of their papers we have counts for
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stat.ML2021★ 7 cited
Principal component analysis for Gaussian process posteriors
Hideaki Ishibashi, Shotaro Akaho
This paper proposes an extension of principal component analysis for Gaussian process (GP) posteriors, denoted by GP-PCA. Since GP-PCA estimates a low-dimensional space of GP poste…
stat.ML2021★ 8 cited
Stopping Criterion for Active Learning Based on Error Stability
Hideaki Ishibashi, Hideitsu Hino
Active learning is a framework for supervised learning to improve the predictive performance by adaptively annotating a small number of samples. To realize efficient active learnin…