91 citations · 581 across the 43 of their papers we have counts for
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stat.ME2014★ 5 cited
Learning with many experts: model selection and sparsity
Rafael Izbicki, Rafael Bassi Stern
Experts classifying data are often imprecise. Recently, several models have been proposed to train classifiers using the noisy labels generated by these experts. How to choose betw…
stat.ME2014★ 11 cited
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation
Rafael Izbicki, Ann B. Lee, Chad M. Schafer
The ratio between two probability density functions is an important component of various tasks, including selection bias correction, novelty detection and classification. Recently,…