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+34 946 567 842
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+34 946 567 842
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kbondugula@bcamath.org
Information of interest
- Orcid: 0000-0001-7614-3276
Research Technician at BCAM
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Efficient Learning of Minimax Risk Classifiers in High Dimensions
Bondugula, K.R.
; Mazuelas, S.; Pérez, A. (2023-08-01)
High-dimensional data is common in multiple areas, such as health care and genomics, where the number of features can be tens of thousands. In such scenarios, the large number of features often leads to inefficient ...
MRCpy: a library for Minimax Risk Classifiers
MRCpy library implements minimax risk classifiers (MRCs) that are based on robust risk minimization and can utilize 0-1-loss.
Authors: Kartheek Reddy, Claudia Guerrero, Aritz Perez, Santiago Mazuelas
License: free and open source software
Efficient learning algorithm for Minimax Risk Classifiers (MRCs) in high dimensions
This repository provides efficient learning algorithm for Minimax Risk Classifiers (MRCs) in high dimensions. The presented algorithm utilizes the constraint generation approach for the MRC linear program.
Authors: Kartheek Reddy
License: free and open source software