Statements (86)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Person
|
| gptkbp:affiliation |
gptkb:University_of_California,_Berkeley
|
| gptkbp:alma_mater |
gptkb:Harvard_University
gptkb:University_of_California,_Berkeley |
| gptkbp:award |
National Academy of Sciences member
|
| gptkbp:birth_date |
1956-01-01
|
| gptkbp:contribution |
Contributed to the field of machine learning.
Contributed to the field of data science. Contributed to the understanding of statistical inference theory. Contributed to the understanding of algorithmic fairness. Research on the foundations of statistical inference. Contributed to the understanding of statistical modeling. Research on the theory of statistical learning theory. Contributed to the understanding of statistical learning methods. Contributed to the understanding of statistical theory. Developed algorithms for statistical inference. Pioneered work in graphical models. Research on causal inference. Research on computational biology. Research on nonparametric statistics. Research on online learning. Research on reinforcement learning. Research on statistical learning theory. Research on the theory of Bayesian networks. Research on the theory of algorithms. Research on the theory of causal inference. Research on the theory of data analysis. Research on the theory of data science. Research on the theory of learning. Research on the theory of machine learning. Research on the theory of nonparametric methods. Research on the theory of statistical learning. Research on the theory of statistical methods. Research on variational inference. Work on deep learning frameworks. Work on large-scale machine learning. Work on statistical machine learning. Work on the theory of graphical models. Work on the theory of optimization. Work on the theory of statistical algorithms. Work on the theory of statistical analysis. Work on the theory of statistical inference. Work on the theory of statistical learning. Work on the theory of statistical inference applications. Contributed to the development of machine learning applications. Contributed to the understanding of Bayesian methods. Research on the theory of statistical computing theory. Research on the theory of statistical learning applications. Research on the theory of statistical modeling methods. Research on the theory of statistical computing methods. Research on the theory of computational statistics. Contributed to the understanding of statistical modeling applications. Work on the theory of machine learning applications. Work on the theory of statistical analysis methods. Research on the theory of statistical inference methods. Research on the theory of statistical modeling theory. Contributed to the understanding of high-dimensional statistics. Work on the intersection of statistics and computer science. Contributed to the development of probabilistic graphical models. Contributed to the understanding of statistical computing. Contributed to the understanding of statistical algorithms. Contributed to the understanding of statistical algorithms theory. |
| gptkbp:field |
Statistics
|
| gptkbp:full_name |
gptkb:Michael_I._Jordan
|
| https://www.w3.org/2000/01/rdf-schema#label |
Michael I. Jordan
|
| gptkbp:influenced_by |
gptkb:David_Blackwell
gptkb:John_von_Neumann gptkb:Leonard_Kleinrock gptkb:Judea_Pearl |
| gptkbp:known_for |
Hierarchical Bayesian models
|
| gptkbp:nationality |
gptkb:American
|
| gptkbp:notable_students |
gptkb:Michael_Stein
gptkb:David_Blei gptkb:Daphne_Koller gptkb:Zoubin_Ghahramani gptkb:Trevor_Hastie |
| gptkbp:occupation |
gptkb:Statistician
|
| gptkbp:research_interest |
gptkb:Artificial_Intelligence
gptkb:machine_learning Optimization Statistics |
| gptkbp:title |
gptkb:1985
Bayesian Nonparametric Models |
| gptkbp:website |
http://www.cs.berkeley.edu/~jordan/
|
| gptkbp:bfsParent |
gptkb:National_Medal_of_Science
|
| gptkbp:bfsLayer |
2
|