Scholar
Karl Rohe
Google Scholar ID: yHSi7XkAAAAJ
Professor of Statistics, UW Madison
Citations & Impact
Citations
2,133
H-index
17
i10-index
20
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Publications can be found on arXiv and Google Scholar. Code is hosted on GitHub. Supported by the National Science Foundation and the Army Research Office, project numbers: DMS-1309998, DMS-1612456, DMS-1916378, W911NF-15-1-0423, W911NF-20-1-0051.
Research Experience
- Previously an AE at JASA and JRSS-B. Current research work focuses on the changes in data analysis, especially the application of PCA and embeddings to a wider range of data types.
Background
- Professor of Statistics at the University of Wisconsin–Madison, with courtesy appointments in The School of Journalism and Mass Communication, Electrical & Computer Engineering, and Educational Psychology. Part of a broad and inclusive community of machine learning researchers at UW Madison and affiliate faculty for IFDS. Interested in making things for statisticians from very old (PCA and varimax) and very new (Large Language Models). Focuses on the changing nature of data analysis, particularly the application of PCA as an embedding.
Miscellany
- Interested in graphs, Large Language Models, Twitter, #blacklivesmatter, eigenvectors, reproducibility, public opinion, psychotherapy, raspberry pis, bitcoin, etc. Twitter and BlueSky handle: @karlrohe.
Co-authors