Roland Ramsahai

Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

? Tutorial for this page

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

dblp:93/10620 · also Roland R. Ramsahai · DBLP profile ↗

← Back

2ranked-venue papers

2as first author

0since 2021 · last 2012

—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 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 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 › causal inference › causal effect identification causal bounds	0.1	1	2012	Causal Bounds and Observable Constraints for Non-deterministic Models · J. Mach. Learn. Res. 2012
Machine learning › Probabilistic and Bayesian machine learning causal inference	0.1	1	2012	Causal Bounds and Observable Constraints for Non-deterministic Models · J. Mach. Learn. Res. 2012
Machine learning › Probabilistic and Bayesian machine learning › structured models graphical models	0.1	1	2012	Causal Bounds and Observable Constraints for Non-deterministic Models · J. Mach. Learn. Res. 2012

Year	Publication	Venue	Position
2012	Causal Bounds and Observable Constraints for Non-deterministic Models Roland Ramsahai	J. Mach. Learn. Res.	1
2007	Causal Bounds and Instruments Roland Ramsahai	UAI	1