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VLDB 2026 Research / reviewers in the wild / expert

Yuzo Maruyama

dblp:47/8506 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0001-8686-1028ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › bayesian inference
bayesian prediction		 0.412019
Harmonic Bayesian Prediction Under $\alpha$ -Divergence · IEEE Trans. Inf. Theory 2019
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › bayesian inference › bayesian prediction
predictive distribution		 0.412019
Harmonic Bayesian Prediction Under $\alpha$ -Divergence · IEEE Trans. Inf. Theory 2019

Methods — techniques the papers use, named apart from their topics

stein's harmonic prior · 0.4alpha-divergence · 0.4
YearPublicationVenuePosition
2019 Harmonic Bayesian Prediction Under $\alpha$ -Divergence
abstract
We investigate Bayesian shrinkage methods for constructing predictive distributions. We consider the multivariate normal model with a known covariance matrix and show that the Bayesian predictive density with respect to Stein's harmonic prior dominates the best invariant Bayesian predictive density when the dimension is greater than or equal to 3. Alpha divergence from the true distribution to a predictive distribution is adopted as a loss function.
Yuzo Maruyama, Takeru Matsuda, Toshio Ohnishi
 IEEE Trans. Inf. Theory1