Daniel E. Marthaler

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Demo Data from VLDB 2026 / reviewers in the wild / expert

dblp:15/3295 · DBLP profile ↗

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1ranked-venue papers

0as first author

0since 2021 · last 2015

—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 › stochastic processes gaussian process	0.2	1	2015	pyGPs: a Python library for Gaussian process regression and classification · J. Mach. Learn. Res. 2015
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes › gaussian process gaussian process classification	0.2	1	2015	pyGPs: a Python library for Gaussian process regression and classification · J. Mach. Learn. Res. 2015
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes › gaussian process gaussian process regression	0.2	1	2015	pyGPs: a Python library for Gaussian process regression and classification · J. Mach. Learn. Res. 2015

Year	Publication	Venue	Position
2015	pyGPs: a Python library for Gaussian process regression and classification Marion Neumann, Daniel E. Marthaler, Kristian Kersting	J. Mach. Learn. Res.	3