Demo Data from VLDB 2026 / reviewers in the wild / expert
Aapo Nummenmaa
dblp:59/7424
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference
approximate inference |
0.2 | 1 | 2014 | Expectation propagation for neural networks with sparsity-promoting priors · J. Mach. Learn. Res. 2014 |
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference › approximate inference
expectation propagation |
0.2 | 1 | 2014 | Expectation propagation for neural networks with sparsity-promoting priors · J. Mach. Learn. Res. 2014 |
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › bayesian inference › prior modeling
sparsity-inducing prior |
0.2 | 1 | 2014 | Expectation propagation for neural networks with sparsity-promoting priors · J. Mach. Learn. Res. 2014 |
Methods — techniques the papers use, named apart from their topics
expectation propagation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Expectation propagation for neural networks with sparsity-promoting priors
Pasi Jylänki, Aapo Nummenmaa, Aki Vehtari |
J. Mach. Learn. Res. | 2 |