11 citations · 25 across the 6 of their papers we have counts for
3 papers · 1 filter
Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models
Ming Yu, Karthikeyan Natesan Ramamurthy, Addie Thompson +1
We consider multi-response and multitask regression models, where the parameter matrix to be estimated is expected to have an unknown grouping structure. The groupings can be along…
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…
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality
Vikas Sindhwani, Minh Ha Quang, Aurelie C. Lozano
We propose a general matrix-valued multiple kernel learning framework for high-dimensional nonlinear multivariate regression problems. This framework allows a broad class of mixed…