Ido Cohn

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dblp:07/8412 · DBLP profile ↗

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3ranked-venue papers

2as first author

0since 2021 · last 2010

—ORCID · none

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

Artificial intelligence and machine learning · 3 · 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

2 papers

Probabilistic and Bayesian machine learning · 100%

Topics — the 6 heaviest of 6, 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 belief propagation	0.1	1	2010	Continuous-Time Belief Propagation · ICML 2010
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models › bayesian network continuous time bayesian networks	0.1	1	2010	Mean Field Variational Approximation for Continuous-Time Bayesian Networks · J. Mach. Learn. Res. 2010
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference continuous-time inference	0.1	1	2010	Continuous-Time Belief Propagation · ICML 2010
Machine learning › Probabilistic and Bayesian machine learning › structured models graphical models	0.1	1	2010	Mean Field Variational Approximation for Continuous-Time Bayesian Networks · J. Mach. Learn. Res. 2010
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference › approximate inference › variational inference mean-field approximation	0.1	1	2010	Mean Field Variational Approximation for Continuous-Time Bayesian Networks · J. Mach. Learn. Res. 2010
Machine learning › Probabilistic and Bayesian machine learning › probabilistic inference › approximate inference variational inference	0.1	1	2010	Mean Field Variational Approximation for Continuous-Time Bayesian Networks · J. Mach. Learn. Res. 2010

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

mean-field variational approximation · 0.1

Year	Publication	Venue	Position
2010	Continuous-Time Belief Propagation Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman	ICML	2
2010	Mean Field Variational Approximation for Continuous-Time Bayesian Networks Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman	J. Mach. Learn. Res.	1
2009	Mean Field Variational Approximation for Continuous-Time Bayesian Networks Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman	UAI	1