8 citations · 12 across the 3 of their papers we have counts for
3 papers
stat.ML2017★ 4 cited
Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties
Ming Yu, Addie M. Thompson, Karthikeyan Natesan Ramamurthy +2
Inferring predictive maps between multiple input and multiple output variables or tasks has innumerable applications in data science. Multi-task learning attempts to learn the maps…
cs.LG2017★ 8 cited
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification
Hajin Shim, Sung Ju Hwang, Eunho Yang
We consider the problem of active feature acquisition, where we sequentially select the subset of features in order to achieve the maximum prediction performance in the most cost-e…
cs.LG2017
Sequential Local Learning for Latent Graphical Models
Sejun Park, Eunho Yang, Jinwoo Shin
Learning parameters of latent graphical models (GM) is inherently much harder than that of no-latent ones since the latent variables make the corresponding log-likelihood non-conca…