Demo Data from VLDB 2026 / reviewers in the wild / expert
Jaakko Riihimäki
dblp:51/9381
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-authorDatabases, data management, data science and information retrieval · 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
2 papers |
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
expectation propagation |
0.2 | 1 | 2013 | Nested expectation propagation for Gaussian process classification · J. Mach. Learn. Res. 2013 |
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes
gaussian process |
0.2 | 1 | 2013 | GPstuff: Bayesian modeling with Gaussian processes · J. Mach. Learn. Res. 2013 |
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes › gaussian process
gaussian process classification |
0.2 | 1 | 2013 | Nested expectation propagation for Gaussian process classification · J. Mach. Learn. Res. 2013 |
Methods — techniques the papers use, named apart from their topics
gaussian process · 0.2bayesian inference · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Nested expectation propagation for Gaussian process classification
Jaakko Riihimäki, Pasi Jylänki, Aki Vehtari |
J. Mach. Learn. Res. | 1 |
| 2013 | GPstuff: Bayesian modeling with Gaussian processes
Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, Aki Vehtari |
J. Mach. Learn. Res. | 2 |
| 2011 | Sparse Spatio-temporal Gaussian Processes with General Likelihoods
Jouni Hartikainen, Jaakko Riihimäki, Simo Särkkä |
ICANN (1) | 2 |
| 2010 | A Connection between Extreme Learning Machine and Neural Network Kernel
Eli Parviainen, Jaakko Riihimäki |
IC3K | 2 |