no code implementations • NeurIPS 2015 • Jason D. Lee, Yuekai Sun, Jonathan E. Taylor
Biclustering (also known as submatrix localization) is a problem of high practical relevance in exploratory analysis of high-dimensional data.
no code implementations • 14 Mar 2015 • Jason D. Lee, Yuekai Sun, Qiang Liu, Jonathan E. Taylor
We devise a one-shot approach to distributed sparse regression in the high-dimensional setting.
no code implementations • NeurIPS 2014 • Jason D. Lee, Jonathan E. Taylor
We develop a framework for post model selection inference, via marginal screening, in linear regression.
no code implementations • NeurIPS 2013 • Jason D. Lee, Yuekai Sun, Jonathan E. Taylor
Penalized M-estimators are used in diverse areas of science and engineering to fit high-dimensional models with some low-dimensional structure.
no code implementations • 25 Nov 2013 • Jason D. Lee, Dennis L. Sun, Yuekai Sun, Jonathan E. Taylor
We develop a general approach to valid inference after model selection.
no code implementations • 31 May 2013 • Jason D. Lee, Yuekai Sun, Jonathan E. Taylor
Regularized M-estimators are used in diverse areas of science and engineering to fit high-dimensional models with some low-dimensional structure.