Basic Info

I recently completed my Ph.D. at the University of Wisconsin-Madison working with David Page and am currently looking for a research-oriented job in machine learning. I also received an M.S. in Computer Sciences in 2010 from University of Wisconsin-Madison. My undergraduate work was in computer science and music at Lawrence University where I received a B.A. in Math-Computer Science and B.M. in Bassoon Performance in 2008.

Research Interests

My research focuses on evaluation techniques for supervised machine learning and on statistical relational learning methods. I am particularly interested in thresholdless evaluation measures such as ROC curves, PR curves, and the areas under them. I also work with statistical relational learning methods to leverage electronic medical records for disease prediction.

Publications

Kendrick Boyd, Kevin H. Eng, C. David Page. Area under the Precision-Recall Curve: Point Estimates and Confidence Intervals. Machine Learning and Knowledge Discovery in Databases (ECMLPKDD 2013), 2013. paper(pdf) bib slides(pdf)

Kendrick Boyd, Vitor Santos Costa, Jesse Davis, C. David Page. Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation. Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012. paper(pdf) bib slides(pdf) video+discussion

Theses

Kendrick Boyd. Mitigating the Risks of Thresholdless Metrics in Machine Learning Evaluation. Ph.D. Disseration, University of Wisconsin-Madison, 2014. paper(pdf) slides(pdf)

Technical Reports

Kendrick Boyd, Vitor Santos Costa, Jesse Davis, David Page. Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation. Technical Report TR1772, Department of Computer Sciences, University of Wisconsin-Madison, 2012. paper(pdf)

Personal

When not spending too much time in front of a computer, I am usually playing bassoon with the Middleton Community Orchestra and assorted chamber ensembles, reading sci-fi/fantasy, or sleeping.