| Grant number: | 18/07551-6 |
| Support Opportunities: | Scholarships abroad - Research |
| Start date: | October 01, 2018 |
| End date: | January 31, 2019 |
| Field of knowledge: | Physical Sciences and Mathematics - Mathematics - Applied Mathematics |
| Principal Investigator: | Paulo José da Silva e Silva |
| Grantee: | Paulo José da Silva e Silva |
| Host Investigator: | Jose Claudio Teixeira e Silva Junior |
| Host Institution: | Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
| Institution abroad: | New York University, United States |
| Associated research grant: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID |
Abstract Data science is a very active area that tries to uncover the informationhidden in the vast amount of data collected each day. It can be seen as acombination of techniques from Statistics, Computer Science, and MachineLearning, that results in models that must be optimized using mathematicalalgorithms.In this project, we propose to use state-of-the-art optimization techniques todevelop computer solutions for Data Analysis problems. In particular, we planto focus on $\ell_1$-regularized models, like lasso, and on variations ofSupport Vector Machines. This endeavor must be taken in tight collaborationwith other experts of Data Analysis in order to accomplish results for realworld problems. | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
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