Mitchell Stern
About
Mitchell Stern has authored 14 papers that have received a total of 493 indexed citations.
This includes 12 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. The topics of these papers are Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Stochastic Gradient Optimization Techniques (3 papers). Mitchell Stern is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Stochastic Gradient Optimization Techniques (3 papers) and collaborates with scholars based in United States, Japan and Germany. Mitchell Stern's co-authors include Jakob Uszkoreit, Dan Klein, Noam Shazeer, William Chan and Michael I. Jordan and has published in prestigious journals such as Chemical Communications
In The Last Decade
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