35 citations · 41 across the 4 of their papers we have counts for
4 papers
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
Wenfang Sun, Yingjun Du, Xiantong Zhen +3
Meta-learning algorithms are able to learn a new task using previously learned knowledge, but they often require a large number of meta-training tasks which may not be readily avai…
Structural randomised selection
Fan Wang, Sylvia Richardson, Steven M. Hill
An important problem in the analysis of high-dimensional omics data is to identify subsets of molecular variables that are associated with a phenotype of interest. This requires ad…
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients
Fan Wang, Oscar Hernan Madrid Padilla, Yi Yu +1
We study the theoretical properties of the fused lasso procedure originally proposed by \cite{tibshirani2005sparsity} in the context of a linear regression model in which the regre…
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
Fan Wang, Sach Mukherjee, Sylvia Richardson +1
Penalized likelihood approaches are widely used for high-dimensional regression. Although many methods have been proposed and the associated theory is now well-developed, the relat…