2 papers
stat.ML2020
Adaptive Covariate Acquisition for Minimizing Total Cost of Classification
Daniel Andrade, Yuzuru Okajima
In some applications, acquiring covariates comes at a cost which is not negligible. For example in the medical domain, in order to classify whether a patient has diabetes or not, m…
stat.CO2019
Convex Covariate Clustering for Classification
Daniel Andrade, Kenji Fukumizu, Yuzuru Okajima
Clustering, like covariate selection for classification, is an important step to compress and interpret the data. However, clustering of covariates is often performed independently…