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Found 6 papers, 0 papers with code
Evaluating the statistical significance of biclusters
Biclustering (also known as submatrix localization) is a problem of high practical relevance in exploratory analysis of high-dimensional data.
Communication-efficient sparse regression: a one-shot approach
We devise a one-shot approach to distributed sparse regression in the high-dimensional setting.
Exact Post Model Selection Inference for Marginal Screening
We develop a framework for post model selection inference, via marginal screening, in linear regression.
On model selection consistency of penalized M-estimators: a geometric theory
Penalized M-estimators are used in diverse areas of science and engineering to fit high-dimensional models with some low-dimensional structure.
Exact post-selection inference, with application to the lasso
We develop a general approach to valid inference after model selection.
On model selection consistency of regularized M-estimators
Regularized M-estimators are used in diverse areas of science and engineering to fit high-dimensional models with some low-dimensional structure.
