Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
F Yang, P Le Bodic, M Kamp, M Boley. (2024). "Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles." AISTATS.
CV
A full CV with publications is available in pdf format.
Education
- Ph.D in Computer Science, University of Bonn, 2011
- Diploma in Computer Science, University of Bonn, 2006
Affiliation History
- 2024 - today: Senior lecturer at the Department of Informaton Systems at Haifa University, Israel
- 2018 - today: Senior lecturer at the Department of Data Science and AI at Monash University, Australia (tenured until August 2024, currently adjunct)
- 2017 - 2018: Post-doctoral Fellow at Max Planck Institute for Informatics, Saarbrücken, Germany
- 2015 - 2017: Post-doctoral Fellow at Fritz Haber Institute of the Max Planck Society (Materials Science), Berlin, Germany
- 2011 - 2015: Post-doctoral Fellow at University of Bonn, Department of Information Systems and AI
- 2007 - 2014: Research Scientist at Fraunhofer Institute for Intelligent Analysis and Information Systems, St. Augustin
Publications
Bayes beats cross validation: fast and accurate ridge regression via expectation maximization
SY Tew, M Boley, DF Schmidt. (2023). "Bayes beats cross validation: fast and accurate ridge regression via expectation maximization." NeurIPS. 36
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting
M Boley, S Teshuva, P Le Bodic, G Webb. (2021). "Better Short than Greedy: Interpretable Models through Optimal Rule Boosting." SDM.
Identifying domains of applicability of machine learning models for materials science
C Sutton, M Boley, LM Ghringhelli, M Rupp, J Vreeken, M Scheffler. (2020). "Identifying domains of applicability of machine learning models for materials science." Nature Communications. 11(1),4428.